CN104867309A - Middle aged and elderly people good health service intelligent wearing device and deep learning method - Google Patents

Middle aged and elderly people good health service intelligent wearing device and deep learning method Download PDF

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Publication number
CN104867309A
CN104867309A CN201510215095.3A CN201510215095A CN104867309A CN 104867309 A CN104867309 A CN 104867309A CN 201510215095 A CN201510215095 A CN 201510215095A CN 104867309 A CN104867309 A CN 104867309A
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wearer
module
intelligent
worn device
intelligent worn
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王家法
黄桂航
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Shenzhen Global Lock Safety System Engineering Co ltd
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Shenzhen Global Lock Safety System Engineering Co ltd
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Abstract

The invention discloses a middle aged and elderly people good health service intelligent wearing device and a deep learning method. The intelligent wearing device comprises a moving posture module, a gesture recognition module, a physiological sign module, an environmental detection module, a video processing module, a wireless communication module, a charging module, a central processing unit, a storer, a display module, a mobile communication module, an alarm module, a wireless transceiver module and a deep learning module, the device is used for analyzing, learning and storing daily route habits, temperature environment hobbies and entertainment media program hobbies of a wearer, recommended parameters that are provided by a cloud good health service platform and good for health of the wearer are combined, thereby, the device can intelligently automatically take or can be authorized by the wearer to take daily manual intelligent appliance operating actions of the wearer and warn the wearer against bad living habits and hobbies, the wearer can have reasonable healthy living habits, and healthy life that are highly intelligent, automatic, comfortable, scientific and extremely friendly to human can be provided for the wearer.

Description

The safe and comfortable Intelligent Service wearable device of the elderly and degree of deep learning method in one
Technical field
The present invention relates to Intelligent worn device technical field, particularly relate to the safe and comfortable Intelligent Service wearable device of the elderly in one and degree of deep learning method.
Background technology
More than the 60 years old elderly population sum in the current whole world reaches 600,000,000, has the elderly population of more than 60 country to meet or exceed 10% of population, and enter aging population society ranks, 21st century aging will become one of the severeest global problem.The existing aged of China more than 1.6 hundred million, and increases with the speed of nearly 8,000,000 every year, and relevant expert predicts, to the year two thousand fifty, the Chinese aged will reach 1/3rd of total population.The quick increase of elderly population, the particularly man at an advanced age of more than 80 years old and the growth rate of anergy old man average annual 1000000, day by day highlight the demand such as life care, rehabilitation nursing, health care, security monitoring, inspirit culture of the elderly, endowment problem is increasingly severe.Current Chinese Government promotes family endowment and Social securty system Construction energetically, but regardless of which kind of Aged mode, all needs the support of relevant old man's safety and Health custodial care facility and plateform system.
Along with social development, intensified competition, inferior health disease has become the number one killer of a middle-aged person, and therefore a middle-aged person also has strong Ankang monitoring demand for services.
Along with Internet of Things, MEMS(Microelectro Mechanical Systems, MEMS (micro electro mechanical system)), the technical development of smart mobile phone, Intelligent worn device, had at present much based on the health detection of Intelligent worn device and/or the patented technology of life security monitoring and product.Such as, application number is one intelligence sign monitoring wrist-wearable device and the blood pressure measuring method of CN201410348992, etc.But existing patented technology and product all exist following major defect: 1, safety, health detecting method reliability are poor, wrong report, rate of failing to report are higher; 2, measurement function needs user to be manually booted by very little screen, and intelligence degree is low, man-machine interaction is poor, operability is not strong; 3, old man's life convenience demand is not considered; 4, non-systemic closed loop solution, the health treatment scheme property assessed, trackability are poor; 5, old man's cultural life demand etc. is not paid close attention to.
Summary of the invention
Technical matters to be solved by this invention to be to provide in one the safe and comfortable Intelligent Service wearable device of the elderly and degree of deep learning method, and it can be intelligent automatic or after wearer mandate, perform its daily manual intelligent appliance control action.
For solving technical matters of the present invention, the present invention discloses a kind of Intelligent worn device, comprise athletic posture module, gesture recognition module, physiology sign module, context detection module, video processing module, wireless communication module, charging module, central processing unit, storer, display module, mobile communication module, alarm module and radio receiving transmitting module, also comprise household appliance control module and degree of depth study module, described household appliance control module is for controlling intelligent appliance equipment; Described degree of depth study module is used for analyzing the daily life work and rest activity of wearer, learn and storing, and in conjunction with temperature, humidity and season parameter, the environmental control parameters of study wearer hobby, and in conjunction with the recommended parameter that Yunan County's health service platform provides, by household appliance control module, control intelligent appliance equipment and perform corresponding operation.
Described degree of depth study module is also for reminding according to the bad work and rest activity of described recommended parameter to wearer.
Described Intelligent worn device also comprises media player, for play multimedia; Described degree of depth study module is also for obtaining the sound multimedia messages that wearer is liked, its sound multimedia liked of prompting wearer is about to play, confirm after broadcasting through wearer, control intelligent television by household appliance control module and perform corresponding operation, or open the built-in corresponding operation of media player execution of Intelligent worn device.
Described Intelligent worn device also comprises voice interaction module, for the instruction according to degree of depth study module, and the corresponding noiseless media content of speech play; Whether described degree of depth study module also for obtaining the noiseless media content that wearer is liked, and points out wearer to listen to, and after wearer confirmation is listened to, by voice interaction module, plays corresponding noiseless media content.
The selection that described voice interaction module also sends for accepting wearer controls phonetic order, performs corresponding noiseless media content control operation.
For solving technical matters of the present invention, the present invention also discloses a kind of degree of deep learning method of Intelligent worn device, comprises step:
Obtain beginning and ending time and the behavioral parameters of the daily life work and rest activity of wearer, and store-memory;
Timing uploads beginning and ending time of described daily life work and rest activity and behavioral parameters to Yunan County's health service platform;
In conjunction with temperature, humidity and season parameter, obtain wearer hobby environmental control parameters;
Timing uploads described controling parameters to Yunan County's health service platform;
According to the recommended parameter that Yunan County's health service platform analysis obtains, control intelligent appliance equipment and perform corresponding operation.
Described degree of deep learning method, also comprises: remind according to the bad daily life system activity of described recommended parameter to wearer.
Described degree of deep learning method, also comprises:
Obtain the sound multimedia messages that wearer is liked;
At the sound multimedia broadcast start time that wearer is liked, carry out play cuing;
Wearer is confirmed whether to play, and if so, then controls sound multimedia described in intelligent television or the built-in media renderer plays of Intelligent worn device.
Described degree of deep learning method, also comprises:
Obtain the noiseless media content that wearer is liked;
Whether prompting wearer listens to described noiseless media content;
If wearer confirms to listen to, then play corresponding noiseless media content.
Described degree of deep learning method, also comprises:
Receive the selection control phonetic order that wearer sends, perform corresponding noiseless media content control operation.
Compared with prior art, the present invention has following beneficial effect: Intelligent worn device of the present invention is by the daily life system custom of study wearer, temperature environment is liked, entertainment medium program is liked, in conjunction with the recommended parameter being comparatively beneficial to wearer health that Yunan County's health service platform provides, intelligent automatic or after wearer mandate, perform its daily manual intelligent appliance control action, and bad habits and customs and hobby are reminded, so that wearer forms comparatively reasonably healthy habits and customs, for wearer provides one highly intelligent, robotization, comfortableization, the scientific healthy living with having hommization.
Accompanying drawing explanation
Fig. 1 is the Intelligent worn device structural drawing of the embodiment of the present invention;
Fig. 2 is Yunan County health service platform structure figure of the embodiment of the present invention;
Fig. 3 is the safe and comfortable service system structural drawing of intelligence of the embodiment of the present invention;
Fig. 4 is the athletic posture function structure chart of the embodiment of the present invention;
Fig. 5 is the physiology sign function structure chart of the embodiment of the present invention;
Fig. 6 is the context detection module structural drawing of the embodiment of the present invention;
Fig. 7 is the charging module structural drawing of the embodiment of the present invention;
Fig. 8 is the safe and comfortable monitoring method process flow diagram of the embodiment of the present invention;
Fig. 9 is that the platform of the embodiment of the present invention is dealt with emergencies and dangerous situations method flow diagram;
Figure 10 is the fall detection method process flow diagram of the embodiment of the present invention;
Figure 11 is the degree of deep learning method process flow diagram of the embodiment of the present invention;
Figure 12 is the audio recognition method process flow diagram of the embodiment of the present invention;
Figure 13 is the voice interactive method process flow diagram of the embodiment of the present invention;
Figure 14 is the medicine art appraisal procedure process flow diagram of the embodiment of the present invention;
Figure 15 is the large data processing method process flow diagram of the embodiment of the present invention.
Embodiment
In order to make object of the present invention, technical scheme and beneficial effect clearly, below in conjunction with drawings and Examples, the present invention is described in further detail.Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
Embodiments provide a kind of safe and comfortable service system of intelligence for the service of middle the elderly's Ankang with higher artificial intelligence, see Fig. 3, comprise Intelligent worn device 100, Yunan County's health service platform 200 and intelligent terminal 300 3 ingredients.Described Intelligent worn device 100 is by wireless communication module 117 or mobile communication module 115 and Yunan County's health service platform 200 on-line communication, and Yunan County's health service platform 200 is by broadband or mobile communications network and intelligent terminal 300 on-line communication; More preferably, this Intelligent worn device 100 can also pass through wireless communication module 117, realizes the short-range communication with me and/or tutorial intelligent terminal 300.
The Intelligent worn device 100 that the embodiment of the present invention proposes; by carrying all kinds of MEMS sensor and accurate recognizer; there is powerful and situational awareness accurately; accurately can identify that all kinds of movement posture of wearer, physiology physical sign parameters are measured and environmental parameter detects; when wearer fall, sign exception and environment poison time; wearer can be reminded in time and report to the police to Yunan County's health service platform 200; the life and health safety of available protecting wearer, therefore sensor described above constitutes the basis of thing of the present invention connection detection.As shown in Figure 1, the Intelligent worn device 100 of the embodiment of the present invention comprises: athletic posture module 101, gesture recognition module 102, physiology sign module 103, context detection module 104, sound identification module 108, voice interaction module 109, video processing module 111, degree of depth study module 110, wireless communication module 117, charging module 118, central processing unit (CPU) 119, storer 105, display module 112, locating module 113, navigation module 114, mobile communication module 115, alarm module 116, radio receiving transmitting module 106, household appliance control module 107.
Yunan County's health service platform 200 of the embodiment of the present invention adopts cloud computing technology, and effectively realization joins the cloud thing of magnanimity Intelligent worn device, intelligent terminal and information data, data processing, cloud computing and cloud store greatly.As shown in Figure 2, Yunan County's health service platform 200 comprises large data module 201, information interaction module 202, access module 203, expert system module 204, seat module 205, info push module 206, expert consultation module 207, medicine art evaluation module 208 and electric quotient module block 209.
The principle of work of the Intelligent worn device of the embodiment of the present invention is below described in detail in detail.
See Fig. 4, described athletic posture module 101, at least comprise first two sensor in 3-axis acceleration sensor 1011, three axis angular rate sensor 1012, direction sensor 1013, gravity sensor 1014, or be the combination of above multiple sensors, can effectively common figure's posture of identification equipment wearer and motor pattern (such as: stand up, do down, lie down, stand up, fall and advance, running etc.).
Described gesture recognition module 102, at least comprise 3-axis acceleration sensor 1011, three axis angular rate sensors 1012, direction sensor 1013, first two sensor in gravity sensor 1014 or be above multiple sensors combination, effectively can dress the conventional gesture of arm (such as: go up extremely by identification equipment wearer, left and right swing back and forth once and/or more than, left-to-right, right-to-left etc.), the action implication that wherein conventional gesture is corresponding different respectively (such as: be, no, upper one, next etc.), for with the interactive voice of wearer and the operation of Intelligent worn device 100 related function module.
Described physiology sign module 103, see Fig. 5, comprise one or more sensor combinations in built-in and/or external (wired and/or radio connection) range sensor 1031, heart rate sensor 1032, blood oxygen transducer 1033, skin temperature transducer 1035, respiration transducer 1034, pre ure tra ducer 1036, blood glucose sensor 1037, body weight fat sensor 1038, realize the data acquisition to the above-mentioned physiological characteristic of equipment wearer, stored record.
Described context detection module 104, see Fig. 6, comprise one or more sensor combinations in light sensor 1041, temperature sensor 1042, humidity sensor 1043, baroceptor 1044, gas sensor 1045, carbon monoxide transducer 1046, air mass sensor 1047, air velocity transducer 1048, realize the collection to equipment wearer surrounding enviroment parameter.
Described video processing module 111, comprises video acquisition, compression, process, coding, storage, transmission, alert for Yunan County's health service platform video core, also can be used for wearer to carry out taking pictures, recording a video.
Described alarm module, when the emergencies such as wearer is fallen, heart rate/breathing/blood oxygen concentration is too abnormal, misery is moaned, the long period acutely coughs, flash appeal being detected, automatically by WIFI or mobile network to Yunan County's health service platform upload respective type alert and current pose and or attitude, the sign data record of physical sign parameters and incident forward and backward a period of time, analyze authenticity and the risk class of this alert for the described expert system module of Yunan County's health service platform and seat module.
Preferably, for the excessive risk rank alert of system and artificial preliminary judgement, seat module start immediately on-the-spot audio frequency and video and or the alert work of photo core, examine the true and false of alert by means such as monitoring, intercommunication, video/photos.
Preferably, for high risk true alert, seat module is according to corresponding alert, immediately by described info push module, to the wearable device of the people that is in danger, guardian and or my intelligent mobile terminal push relevant alert information and on-the-spot emergency treatment prediction scheme, for professional medical rescue personnel arrive in before save oneself scientific guidance be provided, and win valuable rescue time.
The elderly meets accident and falls is cause one of deformity, dead principal risk, embodiments provides a kind of fall detection method reliably, see Figure 10, comprising:
Step S01, timing acquiring acceleration, angular velocity data, monitoring parameter also records the data sequence changed;
Step S02, judging whether the unidirectional significantly data variation exceeding setting-up time threshold value, is not return step S01; Perform step S03;
Step S03, judges whether this resultant acceleration significantly changing behavior exceedes its threshold value of falling, and is perform step S05, otherwise performs step S04; Wherein resultant acceleration is 3-axis acceleration sensor X/Y/Z tri-orthogonal directions magnitude square root sum squares, namely , wherein A is resultant acceleration, and Ax, Ay, Az are three orthogonal directions accekerations;
Step S04, then judge whether the conjunction angular velocity that this significantly changes behavior exceedes its threshold value of falling, and is perform step S05, otherwise returns step S01; Wherein closing angular velocity is three axis angular rate sensor X/Y/Z, tri-orthogonal directions magnitude square root sum squares, namely , wherein R is for closing angular velocity, and Rx, Ry, Rz are three orthogonal directions magnitude of angular velocities;
Step S05, judging whether fall stroke exceedes its threshold value of falling, is perform step S06, otherwise performs step S09; Wherein fall stroke to refer to from detecting that generation unidirectional tenesmus motion is played resultant acceleration/angular velocity and only sported 0 from maximal value, the displacement that wearable device occurs.Tradition fall detection algorithm just detects resultant acceleration when wearer usual manner drops into ground, closes angular velocity changing value, but to fall down after wearer being slipped, catch or encounters buffer object and all around different directions such as to fall down at the mode, if according to larger threshold decision, serious failing to report will be caused; Compare threshold arranges too low, can cause serious wrong report again.Fall stroke judgement by increasing, the judgment threshold of relevant resultant acceleration of just can suitably loweing, conjunction angular velocity, effectively reduces rate of failing to report and rate of false alarm;
Step S06, carries out the abnormal judgement of heart rate, if heart rate belongs to abnormal ranges, then performs step S07; If heart rate belongs to normal range, then perform step S08;
Step S07, is set to excessive risk rank and falls warning;
Step S08, is set to risk rank and falls warning;
Step S09, is set to low-risk rank and falls warning;
Step S10, Intelligent worn device notice wearer carries out confirmation of falling; If wearer does not carry out confirmation of falling in limiting time, then perform step S12; Otherwise perform step S11; Intelligent worn device is by the prompting mode notice Intelligent worn device of voice, vibrations or screen display;
Step S11, if carried out confirmation of falling in limiting time, Intelligent worn device inquiry wearer is the need of relief; Wearer confirms not need relief, then directly return S01, otherwise performs next step; Intelligent worn device is by the prompting mode inquiry wearer of voice, vibrations, screen display;
Step S12, sends to Yunan County's health service platform fall alert event and relevant physiological sign data.
Confirm steps by S10, S11 two needs wearers, can accurately be confirmed whether to there occurs more serious event of falling, effectively filter the event of falling that wrong report, impact are less, the receiving a crime report of reduction Yunan County's health service platform and seat module, pressure of dealing with emergencies and dangerous situations.
Reliably detect except falling to wearer, described alarm module 116 is also abnormal to physical sign parameters such as wearer heart rate/breathing/blood oxygen concentrations, the situation such as environmental parameter and flash appeal carries out Real-Time Monitoring, when detect abnormal after automatically upload respective type alert and current pose and/or physiology physical sign parameters and before the accident happened by WIFI or mobile network to Yunan County's health service platform 200, the attitude of rear a period of time, physiology sign data record, the described expert system module 204 of Yunan County's health service platform 200 and seat module 205 is supplied to analyze authenticity and the risk class of this alert, about the safe and comfortable monitoring method flow process of Intelligent worn device 100 is see Fig. 8, do not do detailed step introduction herein.The platform of Yunan County's health service platform 200 deals with emergencies and dangerous situations method flow see Figure 10, comprising:
Step S13, initialization process, comprises the process such as subscriber data typing and information storage;
Whether step S14, detect and have new alert to occur, if then perform step S15; Otherwise return; Particularly, whether the alarm event information reported according to Intelligent worn device detects has new alert to occur; Wherein, alert event comprises physical sign parameters abnormal alarm event, environmental parameter anomalous event and the flash appeal event such as alert event of falling, heart rate/breathing/blood oxygen concentration;
Step S15, examines alert whether true and risk class, and the wearer physiology sign data of continuous surveillance alarm; If truly report to the police, then perform step S16, otherwise perform step S19;
Particularly, the seat module 205 of Yunan County's health service platform 200 starts on-the-spot audio frequency and video and/or the alert work of photo core, examines the true and false of alert by means such as monitoring, intercommunication, video/photos; And for wrong report, Yunan County's health service platform 200, in conjunction with the normal data reference library of large data module 201, issues the safe and comfortable threshold value of warning of the corresponding alert after adjusting and optimizing to the Intelligent worn device of false alarm;
Preferably, in order to protect wearer privacy, just Yunan County's health service platform 200 only receive fall, the physiology sign such as heart rate/breathing disappears, the excessive risk alert such as too low time allow to enable video core and warn function;
Preferably, in order to protect wearer privacy, Yunan County's health service platform 200 receive heart rate/physiology of respiration sign too high/to overrun etc. in, low-risk alert time, allow to enable human body and block the alert function of video core, seat personnel can only see the scene outside human body contour outline;
Preferably, in order to examine alert further, seat module 205 or intelligent terminal 300 can enable the audio-video monitoring function of Intelligent worn device, make seat personnel understand field conditions.Particularly, seat personnel understands wearer situation by face detail and on-the-spot sound;
Preferably, when Intelligent worn device detect alert occur in night darker time, seat module 205 or intelligent terminal 300 can start the other night lamp of joined low-illuminance cameras, or open neighbouring intelligent bulbs by described household appliance control module 107 and carry out light filling;
Step S16, according to the type of alert event, sends save oneself accordingly measure and points for attention to Intelligent worn device, to inform how alarm person saves oneself;
Step S17, if examine the alert into excessive risk rank, then acquisition positional information is positioned to the wearer of alarm, and judge alert classification, generate on-the-spot emergency treatment prediction scheme, and described positional information alert classification and on-the-spot emergency treatment prediction scheme are sent to Intelligent worn device and intelligent terminal;
Particularly, for high risk true alert, seat module 205 first positions alarm person, again according to corresponding alert, immediately by described info push module 206, push relevant alert information and on-the-spot emergency treatment prediction scheme to the Intelligent worn device 100 of the people that is in danger, intelligent terminal 300, for professional medical rescue personnel arrive in before save oneself scientific guidance be provided, and win valuable rescue time;
Particularly, seat module 205 pairs of alarm person location implement location, rescue by locating module 113 pairs of wearers of Intelligent worn device.Described locating module 113, can when there are abnormal conditions in wearer and or after getting lost, wandering away, by this locating module, location, rescue are implemented to it.One or more combinations of the configurable Big Dipper of this locating module 113, GPS, Grosso, Galileo global satellite positioning, realize outdoor to wearer and more accurately locate;
Preferably, when wearer cannot carry out global positioning satellite in indoor, locating module 113 based on LBS mobile base station location technology, can realize indoor coarse localization to wearer;
Preferably, locating module 113 is also by the NFC(Near Field Communication in described wireless communication module 117, near-field communication) and/or RFID(Radio Frequency Identification, radio-frequency (RF) identification) module, in conjunction with based on the consumption terminal of NFC, RFID technique, access-control card reader or steady arm, indoor precise positioning is realized to wearer;
Preferably, the equipment of the detectable physical activity such as infrared eye, infrared microwave dual technology detector, intelligent camera that locating module 113 is also plugged into by described household appliance control module 107, realizes indoor precise positioning to wearer;
Preferably, locating module 113 can also by the WIFI module in described wireless communication module 117, when wearable device enters family, after public WIFI hot spot signal coverage areas Successful login connect, this WIFI network information is reported from trend Yunan County health service platform 200, described Yunan County health service platform 200, by inquiring about this WIFI network address to WIFI bandwidth operator database platform, realizes indoor precise positioning to wearer;
Step S18, according to the first aid confirmation received, sends first aid alarm information to medical care first-aid system;
Particularly, when wearer or guardian confirm to need health care professional's subvene, first aid confirmation is sent by Intelligent worn device 100 or intelligent terminal 300 to Yunan County's health service platform 200; Yunan County's health service platform 200 is according to this first aid confirmation, and the medical care first-aid system to medical institutions such as hospitals sends first aid alarm information, is come to the rescue by the medical personnel of specialty.This first aid alarm information comprises the personal information of alarm person, positional information and physiology sign data;
Step S19, issues the safe and comfortable threshold value of warning of the corresponding alert after tuning to the Intelligent worn device of false alarm;
Particularly, the large data module 201 of Yunan County's health service platform 200 is according to normal data reference library, derive the more scientific rational safe and comfortable threshold value of warning for Intelligent worn device 100, and push to described Intelligent worn device 100 by information interaction module 202, be saved in described storer 105, the threshold value after later optimizing by this carries out early warning judgement.
As wearable device, be not easy to plug wire charging during wearer nighttime sleep owing to often standing up, when daytime charges, then wearer is not easy to activity, and taking wearable device charging then has the risk that abnormal problem may occur between charge period.Therefore the charging module 118 of the embodiment of the present invention is on wired charging module 1181 basis of routine, also add intelligent change-over switch 1182 and wireless charging module 1183, see Fig. 7.Insert after wired charging plug powers, described intelligent change-over switch 1182 automatically switches to wired charging module 1181 pairs of rechargeable batteries 1184 and charges; When not inserting preferential charging plug but after entering wireless charger region, described intelligent change-over switch 1182 automatically switches to wireless charging module 1183 pairs of rechargeable batteries 1184 and charges.Wireless charger can be placed on doss limit or sofa place, parlor like this, wearer can utilize wired charging module rapid charge by day, goes to bed and sleeps or then automatically carry out wireless charging during rest on sofa.
More preferably, the Intelligent worn device of the embodiment of the present invention also comprises Voice Navigation module 114, can provide Voice Navigation service when wearer is got lost.There is lost rear wearer to be shielded by point touching or direct phonetic order startup speech navigation function, after saying objective title (such as: the places such as the community thought, street, buildings) according to voice message, described Yunan County health service platform 200 is according to the navigation requests of wearer, to automatically issue navigation way information to wearable device 100, wearable device 100 is according to this navigation information, voice message wearer advance route, direction, judge whether wearer advances according to this guidance path simultaneously; If depart from route, wearer is pointed out to walk back correct line, if wearer continues to go to the wrong way, after then returning current location information and route information, wait for that Yunan County's health service platform 200 issues the guidance path after recalculating, and continue to remind wearer to advance, until wearer reaches the destination, reef knot Shu Benci Voice Navigation.
More preferably, present invention also offers household appliance control module 107, after wearer assigns steering order by touch-screen or voice, or after wearer rest, by described radio receiving transmitting module 106, realize the control to intelligent appliance.
Preferably, described household appliance control module 107, directly can pass through radio receiving transmitting module 106, with intelligent appliance and/or by the direct networking of smart jack, realizes the local control of low cost.
Preferably, described household appliance control module 107, also can be communicated with intelligent domestic gateway by described wireless communication module 117 and/or mobile communication module 115, intelligent domestic gateway is again by radio receiving transmitting module 106, with intelligent appliance and/or by the direct networking of smart jack, realize the long-range and/or local control of Intelligent worn device 100 pairs of intelligent appliances.
Preferably, described Intelligent worn device 100, can in conjunction with the custom of user, hobby after detecting that user has a rest, getting up in the night to urinate or go out, the duty of automatic control air conditioner, light; After such as detecting that user lies down bed is had a rest, automatically turn down lamplight brightness and after time delay a period of time, particularly wearer is turned off the light after entering sleep state automatically by wearer custom; Automatically light is opened by weak to bright when detecting that wearer is got up in the night to urinate; After detecting that wearer is closed the door and gone out, then automatically close the energy consumption equipments such as air-conditioning.
Described radio receiving transmitting module 106, adopts and includes but not limited to one in the technology such as infrared, bluetooth, WIFI, ZWAVE, ZIGBEE and/or multiple combination.Wherein, ZWAVE be a kind of emerging based on radio frequency, low cost, low-power consumption, highly reliable, the short-distance wireless communication technology that is suitable for network.ZigBee is the low-power consumption LAN protocol based on IEEE802.15.4 standard.
Described wireless communication module 117, comprise the one of the wireless short-distance communication technologys such as NFC, RFID, bluetooth, WIFI and/or multiple technologies combination, realize consumption, wearer is accurately located, the communication of home wiring control, wearer intelligent terminal and the broadband connections with Yunan County's health service platform 200.
Described mobile communication module 115, support but be not limited to one or more technical combinations in the mobile communication technology of 2G/3G/4G that current each mobile communication carrier commonly uses and following 5G and renewal, and SIM card support voice, the flow package of joining in Intelligent worn device.
More preferably, the Intelligent worn device 100 of the embodiment of the present invention also comprises degree of depth study module 110, for analyzing wearer daily life work and rest activity, study and storage, in conjunction with temperature, humidity and season parameter, the controling parameters of the intelligent appliance equipment of study wearer hobby, and in conjunction with the expert system module 204 of Yunan County's health service platform 200, expert consultation module 207, medicine art evaluation module 208 is according to wearer safety and Health record data, the recommended parameter that the information such as physiology sign data provide, by described household appliance control module 107, round-the-clock automatic control intelligent appliance equipment (such as: air-conditioning, electric fan, electric light etc.), with more healthy, the Automated condtrol mode of intelligence, save the trouble of wearer Non-follow control household electrical appliances.
Preferably, this degree of depth study module 110 also for according to above-mentioned recommended parameter, is reminded its bad behavior (such as: bad work and rest, poor eating habits, bad motion or amusement etc.), so that wearer forms more rational behavioural habits.Described daily life work and rest activity comprises the activity and motion etc. of daily life time, activity time, hobby.Described recommended parameter comprises healthy evaluation result, care plans and/or medical scheme.
Preferably, this degree of depth study module 110 is also for obtaining the sound multimedia messages that wearer is liked, in advance voice reminder wearer its like have the sound multimedia start time, if wearer voice or gesture confirm to appreciate this program, then open intelligent television by described household appliance control module 107 and switch to corresponding channel or program source or the media player of opening Intelligent worn device built-in is play; Described sound multimedia messages comprises sound multimedia type and the reproduction times such as TV, film, drama, storytelling and sound Domestic News, novel.
Whether this degree of depth study module 110 also for obtaining the noiseless media content that wearer is liked, and points out wearer to listen to, and if so, then described voice interaction module 109 is play described noiseless media content and listened to wearer.The selection that described voice interaction module 109 also sends for accepting wearer controls phonetic order, performs corresponding media content control operation.Described selection controls phonetic order and comprises the phonetic orders such as upper and lower page turning, the selection of word speed intonation, background music selection, bookmark.Noiseless media content comprises noiseless news, novel etc. and reads class media content.
The degree of deep learning method flow process of described degree of depth study module 110, see Figure 11, comprising:
Step S21, obtains beginning and ending time and the behavioral parameters of the daily life work and rest activity of wearer, and store-memory; Particularly, by the fixing cycle (such as: in units of sky, week, the moon), obtain beginning and ending time of wearer work and rest activity and behavioral parameters and store-memory;
Step S22, in conjunction with temperature, humidity and season parameter, obtain wearer hobby environmental control parameters; Particularly, by the fixing cycle (such as: in units of sky, week, the moon), obtain the environmental control parameters (such as: air-conditioner temperature, electric fan wind speed that wearer is usually set, electric light light intensity etc.) of wearer hobby;
Step S23, beginning and ending time and behavioral parameters, environmental control parameters extremely described Yunan County health service platform 200 of the work and rest activity of above-mentioned wearer are uploaded in timing,
Step S24, obtains the recommended parameter that Yunan County's health service platform 200 obtains according to large data module 201, expert system module 204 analysis, controls intelligent appliance equipment and performs corresponding operation, and remind the bad daily life system activity of wearer.Wherein, intelligent appliance equipment comprises intelligent air condition, Intelligent electric fan, intelligent electric lamp etc.
In addition, the degree of deep learning method of the embodiment of the present invention also comprises:
Step S25, obtains the sound multimedia messages that wearer is liked; Particularly, by the fixing cycle (such as: in units of sky, week, the moon), obtain the sound multimedia messages that wearer is liked;
Step S26, at the sound multimedia broadcast start time that wearer is liked, carries out play cuing;
Step S27, wearer is confirmed whether to play, and if so, then controls sound multimedia described in intelligent television or built-in media renderer plays.
Further, the degree of deep learning method of the embodiment of the present invention also comprises:
Step S28, obtains the noiseless media content that wearer is liked; Particularly, by the fixing cycle (such as: in units of sky, week, the moon), obtain the noiseless media content that wearer is liked;
Step S29, whether prompting wearer listens to described noiseless media content;
Step S210, if wearer confirms to listen to, then plays corresponding noiseless media content;
Step S211, receives the selection control phonetic order that wearer sends, performs corresponding media content control operation.Described selection controls phonetic order and comprises the phonetic orders such as upper and lower page turning, the selection of word speed intonation, background music selection, bookmark.
The sound identification module 108 of the embodiment of the present invention; based on up-to-date speech recognition technology, the identification of physiology and abnormal sound such as the interactive voice of mandarin and the local dialect (such as: Guangdong language, the south of Fujian Province language, Shanghai native language etc.) and the sound of snoring effectively can be identified, acutely cough, moan, cry in fear, fall down.
More in many ways say to improve the effective discrimination of voice further and identifying, this sound identification module 108 also supports the ability learnt wearer voice, adopt the simple with mode of " learning with me ", record easily, learn wearer to conventional pronunciation (comprising the pronunciation of word, word, phrase), and be stored in wearer speech spectral characteristics storehouse, as another speech recognition pattern library, and learn and store physiology and abnormal sound, the conventional control of wearer and reply voice to received pronunciation spectrum signature storehouse.Wherein " learn with me " with mode be equivalent to repeat the words of others like a parrot with form.
More preferably, described sound identification module 108 is also in conjunction with the current living scene of wearer and approximate speech frequency spectrum, and in conjunction with the voice aid identification of gesture recognition module 102, large data module 201 and the means of final wearer confirmation, learn and the vocabulary stored beyond described received pronunciation spectrum signature storehouse and wearer speech spectral characteristics storehouse or nonstandard vocabulary, there is certain self-learning ability.Particularly, when the voice of sound identification module identification wearer do not meet described received pronunciation spectrum signature storehouse or wearer speech spectral characteristics storehouse, in conjunction with the current living scene of wearer and approximate speech frequency spectrum, infer and comparable speech, confirm correctly until wearer, add this and infer that the comparable speech is to wearer speech spectral characteristics storehouse.When inferring that the comparable speech is incorrect, gesture motion in conjunction with wearer carries out voice aid identification or voice is uploaded to Yunan County's health service platform carrying out voice aid identification, obtain aid identification voice, until wearer confirm correct after, add voice that this aid identification goes out to wearer speech spectral characteristics storehouse.
The audio recognition method flow process of described sound identification module 108, see Figure 12, comprising:
Step S31, study and store physiology and abnormal sound (such as: fall down, the sound of snoring, groan, the sound such as cough), conventional control and response voice in received pronunciation spectrum signature storehouse; Learn and the conventional pronunciation storing wearer to wearer speech spectral characteristics storehouse;
Step S32, carries out hardware, the process of software noise filtering;
Step S33, judges whether voice detected or produce voice interruption request, is not return step S32, is, perform step S34;
Step S34, judges whether to meet the voice in received pronunciation spectrum signature storehouse or wearer speech spectral characteristics storehouse, is perform step S39, is not, perform step S35;
Step S35, in conjunction with the current living scene of wearer and approximate speech frequency spectrum, infers and comparable speech, and particularly, described Intelligent worn device 100 is inferred comparable speech by the said voice of voice message wearer; By voice or gesture, wearer confirms that institute infers that whether correctly the comparable speech that, is perform step S38, then performs step S39, be not, perform step S36;
Step S36, carries out aid identification in conjunction with gesture, or uploads this section audio to the large data module 201 of Yunan County's health service platform 200 and carry out voice aid identification, obtains aid identification voice;
Step S37, described Intelligent worn device 100 is described aid identification voice by the said voice of voice message wearer, by voice or gesture, wearer confirms that whether described aid identification voice are correct, be perform step S38, then perform step S39; Not return step S32;
Step S38, adds this new speech feature to wearer speech spectral characteristics storehouse, reaches the effect constantly learnt by oneself;
Step S39, after performing corresponding phonetic order, returns step S32.
More preferably, the Intelligent worn device 100 of the embodiment of the present invention also comprises voice interaction module 109, for the voice interface instruction according to wearer, interactive voice is carried out with wearer, carry out speech recognition, perform phonetic order, store wearer action and operating parameter.This makes described Intelligent worn device 100 and has the exchanging of a kind of more intelligent, intimate, convenient and hommization, interaction mode between wearer.In addition, voice interaction module 109 is based on above-mentioned all kinds of perception, study and speech recognition technology, also according to the wearer daily schedule learning to arrive, custom, voice message and/or vibrations display reminding are initiatively initiated in timing, whether carry out interactive voice to point out wearer.Realize the prompting to the daily life system of wearer, amusement and fitness campaign, content reports and service, to the prompting of its bad habit, and assessment result prompting that is healthy, security risk.
The voice interactive method flow process of described voice interaction module 109, see Figure 13, comprising:
Step S41, according to the wearer daily schedule learning to arrive, custom, voice message and/or vibrations display reminding are initiatively initiated in timing, whether carry out interactive voice to point out wearer;
Step S42, judging whether voice interface instruction wearer being detected, is perform step S43;
Step S43, carries out speech recognition to the voice answer-back of wearer and/or instruction;
Step S44, performs the phonetic order of wearer, stores wearer action, operating parameter;
Step S45, performs corresponding phonetic order operation in conjunction with Yunan County's health service platform 200, and this action of learning and memory and operating parameter.
Above-mentioned steps S41 also can omit, and initiatively initiates interactive voice instruction by wearer.Above-mentioned steps S45 also can omit.
Described central processing unit 119, adopts the chips such as low-power scm, application specific processor, arm processor and the smart mobile phone dedicated alternative processor with resources such as flash memory, RAM, network services in more powerful calculation processing power, abundant I/O interface, display interface, I2C interface, USB interface, SD card interface, SIM card interface and interruption, sheet.
Described memory module, for storing the learning outcome of the various custom of wearer, voice, and the storage of the data such as vital sign, athletic posture, environmental parameter and record.
Described display module, for human-computer interaction interface, include but not limited to LED(light emitting diode, light emitting diode) display screen, OLED(Organic Light-Emitting Diode, Organic Electricity laser) display screen, LCD(Liquid Crystal Display, liquid crystal display) display screen, touch-screen.
Preferably, in order to prolongs standby time, described display module closes display at ordinary times, when wearer finger is put to screen place a period of time, or rap screen and be no less than secondary, or after described gesture recognition module detects wearer arm left-to-right or right-to-left whipping is no less than twice fast continuously, then light screen; If wearer does not have operational motion after rear a period of time lighted by screen, then automatically close display.
Preferably, described display module has scene Recognition and coupling Presentation Function, and activity scene that can be current according to wearer, shows the correlation parameter mated with this scene automatically, automatically shows step number and time when such as taking a walk.
Preferably, for needing the scene showing multiple parameter simultaneously, in conjunction with described gesture recognition module, described display module support is got rid of arm and is switched Presentation Function.Arm is whipping from left to right, automatically switches to next screen parameter display; Arm is whipping from right to left, automatically switches to a screen parameter display; Arm is whipping from top to bottom, be then back to main interface.
Preferably, in conjunction with described sound identification module, described display module support parameter acoustic control display and or voice broadcast function, such as wearer sends heart rate phonetic order, then automatically demonstrate Current heart rate, and determine whether voice broadcast Current heart rate data as required.
Existing product and patented technology still adopt traditional touching type operation technology, and when the crowd poor for old man, expression in the eyes and driving, moving scene, this control mode is very inconvenient.After adopting above-mentioned scene matching, gesture identification, speech recognition technology, man-machine display interface will very simple, convenient, directly perceived, hommization.
As shown in Figure 2, the access module 203 of Yunan County's health service platform 200 of the embodiment of the present invention is for the online access of the intelligent terminal 300 of Intelligent worn device 100, guardian/wearer.
Preferably, described Intelligent worn device 100 can adopt the access way connected as required, to there are after anomalous event or user's request, information upload online to Yunan County's health service platform 200 or data, upload after terminating and initiatively close link connection, or do not have after a while data upload and or further operation, after request, access module 203 automatically can be closed this link and be connected, thus reduce TCP concurrent connection number and the heartbeat packet processing load of access server, the access capability of effective raising server, reduces traffic consumes and the power consumption of Intelligent worn device.
Preferably, intelligent terminal 300 adopts access way online online, ensures that described in any time, wearer fortuitous event can be pushed to the intelligent terminal of guardian/wearer by info push module.
Expert system module 204, its knowledge base based on healthy, medical treatment, safety precaution field specialty and experts and scholars' knowledge, and in conjunction with the actual sample reference data that described large data module 201 draws, draw individual health evaluation result, care plans and/or medical scheme by the inference mechanism of specialty, and be pushed to this wearer intelligent terminal 300 by described info push module 206.
Expert consultation module 207, the individuality of clear and definite care plans and/or medical scheme cannot be provided to described expert system module 204, or can utilize in wearer man, disease that community medicine instrument carries out preliminary health check-up, described Intelligent worn device 100 can be uploaded to Yunan County's health service platform 200 check result, carry out remote diagnosis by expert consultation module 207, and provide therapeutic scheme.Particularly, expert consultation module 207 makes expert's long-range reception disease examination result, provides teletherapy scheme, by info push module, described teletherapy scheme is pushed to intelligent terminal.
Effectively avoid current common disorder or general health problem all to remove hospital therapy, cause the serious problems that doctors and patients' resource is too nervous.
Described info push module 206, pushes to wearer intelligent terminal 300 relevant health evaluation result, care plans and/or medical scheme, and guardian buys by electric quotient module block 209 relative article that therapeutic scheme recommends.The continued use information that info push module 206 also draws for teletherapy scheme that expert consultation module 207 is provided and medicine art evaluation module 208 and can not continue to use information pushing to intelligent terminal 300.
Described electric quotient module block 209, for wearer guardian and/or care plans that I recommends according to described expert system module 204 or medical scheme, buy the health-care hospital commodity such as relevant healthcare product, health care facility, health care service or medicine by this electric quotient module block 209; When electric quotient module block receive wearer signed for purchase commodity sign for information after, announcement information interactive module 202 can issue prompting instruction to this Intelligent worn device 100, purchased health products, medicine is taken by this Intelligent worn device 100 timed reminding wearer, or keep healthy on time, and be combined with described medicine art evaluation module 208, start to carry out the assessment of medicine art.Particularly, electricity quotient module block 209 is after signing for information described in receiving, send and start medicine art assessment instruction to described medicine art evaluation module 208, medicine art evaluation module 208 is according to this instruction, send data acquisition instructions to Intelligent worn device 100, Intelligent worn device 100 start to gather wearer accept treatment before, physiology sign data after treatments period and treatment, these data are used for medicine art evaluation module 208 and carry out the assessment of medicine art.
Seat module 205, for monitoring the alert examined Intelligent worn device and report, location wearer, and by described info push module, push the alert of wearer, position of being in danger, site disposal prediction scheme information to tutorial intelligent terminal, and notify that professional medical rescue personnel visits and implement rescue or treatment.In addition, seat module 205 can also start the audio-video monitoring function of described Intelligent worn device, makes seat personnel understand field conditions.
Described medicine art evaluation module 208, in conjunction with described large data module 201, expert system module 204, by described Intelligent worn device 100 gather before and after the treatment patients that uploads and the physiology sign data of treatments period, compare with Standard physiological sign Index, if wearer's body improving situation, then draw and can continue use information, sent by info push module 206 and can continue use information to intelligent terminal 300, otherwise, draw and can not continue use information, sent by info push module 206 and can not continue use information to intelligent terminal 300.Visible, the medicine art evaluation module of the embodiment of the present invention can Efficient Evaluation wearer receive treatment therapeutic scheme (such as wearer take health products, medicine or the operation that accepts), thus medical institutions, wearer and guardian can be helped in time, effectively to understand and assess the concrete curative effect of all kinds of health products, medicine and operation plan, be conducive to helping expert to improve therapeutic scheme and product deficiency in time, formulate more scientific, rational therapeutic scheme, for patient selects health product that is more excellent, that be applicable to, equipment and service.
The embodiment of the present invention also provides a kind of medicine art appraisal procedure, see Figure 14, comprising:
Step S51, Intelligent worn device gather wearer accept treatment before, treatments period and treatment after physiology sign data;
Step S52, obtains described physiology sign data; Particularly, according to startup medicine art assessment instruction, obtain wearer accept treatment before, physiology sign data after treatments period and treatment; This startup medicine art assessment instruction can be initiated by described electric quotient module block, also can be initiated by Intelligent worn device, or initiatively be initiated by medicine art evaluation module;
Step S53, compares described physiology sign data and Standard physiological sign Index;
Step S54, after judging treatment, whether wearer's body situation takes a turn for the better; Be perform step S55, be not, perform step S56;
Step S55, determine that wearer adopts therapeutic scheme effect better, can continue to use, transmission can continue use information to intelligent terminal;
Step S56, determines that the therapeutic scheme effect that wearer adopts is poor, can not continue to use, and transmission can not continue use information to intelligent terminal.
Described large data module 201, comprises database module and large data analysis module.Wherein database module be used for storing, inquiry wearer personal information and integrated information (such as: the information such as case history, medical condition) and Intelligent worn device 100 gather the safety and Health record data uploaded, and Gernral Check-up result, care plans and/or medical scheme that described expert system module 204 draws according to wearer personal information and integrated information and safety and Health record data.
Described large data analysis module, large data analysis is carried out to the safety and Health database of record of the wearer Massive Sample that described database module stores, obtain having the normal data reference library that Massive Sample measured data supports, can be described expert system module 204 and decision references and data-optimized is provided.
Preferably, according to described normal data reference library, described large data analysis module also can derive the more scientific rational safe and comfortable threshold value of warning for Intelligent worn device 100, and push to described Intelligent worn device 100 by information interaction module 202, be saved in described storer 105, the threshold value after later optimizing by this carries out early warning judgement.By the continuous iteration optimization of the parameter of this kind of closed-loop system, normalizing, effectively can reduce wrong report, the rate of failing to report of Intelligent worn device 100 alert, improve science, accuracy, universality that expert system module 204 is assessed, diagnosed, advises.
The embodiment of the present invention also provides a kind of large data processing method, see Figure 15, comprising:
Step S61, receives and stores wearer personal information and integrated information, and the safety and Health record data of wearer that Intelligent worn device is uploaded;
Step S62, carries out large data analysis to described safety and Health record data, obtains the normal data reference library with the support of Massive Sample measured data;
Step S63, according to wearer personal information and integrated information, safety and Health record data and normal data reference library, draws healthy evaluation result, care plans and/or medical scheme by the inference mechanism of specialty;
Step S64, stores described healthy evaluation result, care plans and/or medical scheme.
Further, the large data processing method of the embodiment of the present invention also comprises:
Step S65, according to the normal data reference library that large data analysis draws, derives the safe and comfortable threshold value of warning for Intelligent worn device in conjunction with wearer individual information and integrated information;
Step S66, pushes described safe and comfortable threshold value of warning to Intelligent worn device, carries out the iteration optimization of individual safe and comfortable threshold value of warning.
The large data processing method that the embodiment of the present invention provides can realize personalization, the rationalization of safe and comfortable threshold value of warning, effective reduction wrong report, rate of failing to report, and by the personal information of wearer and integrated information and safety and Health record data, carry out large data analysis, health evaluating, diagnosis report, care plans, the science of therapeutic scheme, accuracy, universality that expert system module provides can be improved.
Described information interaction module 202, for the information interaction with described Intelligent worn device 100, can according to the request of Intelligent worn device 100, send corresponding information (such as: the information such as health status, health care suggestion, Domestic News, sound multimedia), to Intelligent worn device 100, to be listened to wearer by Intelligent worn device 100 speech play.
Described intelligent terminal 300, includes but not limited to smart mobile phone, panel computer, personal computer.Described guardian includes but not limited to wearer relatives, medical personnel etc.; After described guardian runs on application software on described intelligent terminal or client software by user name, password login, can the information that pushes to Yunan County's health service platform 200 of real-time reception, also can inquire wearer associated safety, health evaluating idagnostic logout and health care, therapeutic scheme.
Described Intelligent worn device 100, includes but not limited to that intelligent watch/watch, Intelligent bracelet, intelligent ring, intelligent glasses etc. dress the intelligent equipment of form.
More preferably, safe and comfortable service platform 200 of the present invention adopts cloud computing technology, effectively realizes storing magnanimity Intelligent worn device 100 and the cloud thing connection of intelligent terminal 300 and information data, large data analysis, cloud computing and cloud.
In sum, the Intelligent worn device of the embodiment of the present invention is by degree of depth study, speech recognition, large data and medicine art assessment technology, can in, the elderly provides a kind of higher degree artificial intelligence that has, become that Jian is prevented, keeps healthy, moved, amusement, hommization be in the Intelligent life assistant of one.
Corresponding hardware implementing details is not described in detail in above-described embodiment, the concrete model etc. of the concrete pin connected mode in such as described Intelligent worn device between central processing unit 119 and mobile communication module 115, involved device or module, because for a person skilled in the art, this is the thing being easy to accomplish.
One of ordinary skill in the art will appreciate that all or part of flow process realized in above-described embodiment method, that the hardware that can carry out instruction relevant by computer program has come, described program can be stored in a computer read/write memory medium, this program, when performing, can comprise the flow process of the embodiment as above-mentioned each side method.Wherein, described storage medium can be magnetic disc, CD, read-only store-memory body (Read-Only Memory, ROM) or random store-memory body (Random Access Memory, RAM) etc.
More than lift preferred embodiment; the object, technical solutions and advantages of the present invention are further described; be understood that; the foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, within the spirit and principles in the present invention all; any amendment of doing, equivalent replacement, improvement etc.; all should be included within protection scope of the present invention, the interest field that the present invention advocates should be as the criterion described in patent application scope, but not is only limitted to above-described embodiment.

Claims (10)

1. an Intelligent worn device, comprise athletic posture module, gesture recognition module, physiology sign module, context detection module, video processing module, wireless communication module, charging module, central processing unit, storer, display module, mobile communication module, alarm module and radio receiving transmitting module, it is characterized in that, also comprise household appliance control module and degree of depth study module, described household appliance control module is for controlling intelligent appliance equipment; Described degree of depth study module is used for analyzing the daily life work and rest activity of wearer, learn and storing, and in conjunction with temperature, humidity and season parameter, the environmental control parameters of study wearer hobby, and in conjunction with the recommended parameter that Yunan County's health service platform provides, by household appliance control module, control intelligent appliance equipment and perform corresponding operation.
2. Intelligent worn device as claimed in claim 1, it is characterized in that, described degree of depth study module is also for reminding according to the bad work and rest activity of described recommended parameter to wearer.
3. Intelligent worn device as claimed in claim 1, is characterized in that, also comprise media player, for play multimedia; Described degree of depth study module is also for obtaining the sound multimedia messages that wearer is liked, its sound multimedia liked of prompting wearer is about to play, confirm after broadcasting through wearer, control intelligent television by household appliance control module and perform corresponding operation, or open the built-in corresponding operation of media player execution of Intelligent worn device.
4. Intelligent worn device as claimed in claim 1, is characterized in that, also comprise voice interaction module, for the instruction according to degree of depth study module, and the corresponding noiseless media content of speech play; Whether described degree of depth study module also for obtaining the noiseless media content that wearer is liked, and points out wearer to listen to, and after wearer confirmation is listened to, by voice interaction module, plays corresponding noiseless media content.
5. Intelligent worn device as claimed in claim 4, is characterized in that, the selection that described voice interaction module also sends for accepting wearer controls phonetic order, performs corresponding noiseless media content control operation.
6. a degree of deep learning method for Intelligent worn device, is characterized in that, comprise step:
Obtain beginning and ending time and the behavioral parameters of the daily life work and rest activity of wearer, and store-memory;
Timing uploads beginning and ending time of described daily life work and rest activity and behavioral parameters to Yunan County's health service platform;
In conjunction with temperature, humidity and season parameter, obtain wearer hobby environmental control parameters;
Timing uploads described controling parameters to Yunan County's health service platform;
According to the recommended parameter that Yunan County's health service platform analysis obtains, control intelligent appliance equipment and perform corresponding operation.
7. the degree of deep learning method of Intelligent worn device as claimed in claim 6, is characterized in that, also comprise: remind the bad daily life system activity of wearer.
8. the degree of deep learning method of Intelligent worn device as claimed in claim 7, is characterized in that, also comprise:
Obtain the sound multimedia messages that wearer is liked;
At the sound multimedia broadcast start time that wearer is liked, carry out play cuing;
Wearer is confirmed whether to play, and if so, then controls sound multimedia described in intelligent television or the built-in media renderer plays of Intelligent worn device.
9. the degree of deep learning method of Intelligent worn device as claimed in claim 8, is characterized in that, also comprise:
Obtain the noiseless media content that wearer is liked;
Whether prompting wearer listens to described noiseless media content;
If wearer confirms to listen to, then play corresponding noiseless media content.
10. the degree of deep learning method of Intelligent worn device as claimed in claim 9, is characterized in that, also comprise:
Receive the selection control phonetic order that wearer sends, perform corresponding noiseless media content control operation.
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Cited By (42)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105137797A (en) * 2015-08-31 2015-12-09 成都科创城科技有限公司 Smart home ecological system with multiple voice signal collection devices
CN105310696A (en) * 2015-11-06 2016-02-10 中国科学院计算技术研究所 Fall detection model construction method as well as corresponding fall detection method and apparatus
CN105515221A (en) * 2015-12-22 2016-04-20 深圳爱易瑞科技有限公司 Intelligent necklace
CN105595978A (en) * 2016-03-15 2016-05-25 中山大学 Old-person home-old-aged-caring monitoring system and method based on indoor positioning
CN105765467A (en) * 2015-09-23 2016-07-13 深圳还是威健康科技有限公司 A household appliance controlling method and an intelligent wristband
CN105843056A (en) * 2016-03-27 2016-08-10 无锡南理工科技发展有限公司 Internet-of-things smart home system
CN105975065A (en) * 2016-04-28 2016-09-28 上海海漾软件技术有限公司 Screen control method and device of smartwatch, and smartwatch
CN105997025A (en) * 2016-05-13 2016-10-12 江苏铂英特电子科技有限公司 Multi-purpose health monitoring intelligent device
CN106039499A (en) * 2016-05-17 2016-10-26 王亚平 Intelligent breathing circle pressure monitoring and alarming system
CN106056516A (en) * 2016-05-31 2016-10-26 杭州致峰网络科技有限公司 Monitoring method and monitoring system
CN106527598A (en) * 2016-12-15 2017-03-22 公安部第三研究所 Police wrist type wearing device for public security law enforcement and application system
CN106777973A (en) * 2016-12-15 2017-05-31 北京奇虎科技有限公司 The automatic method for formulating training plan, device and server
CN106873770A (en) * 2016-12-31 2017-06-20 歌尔科技有限公司 A kind of user behavior data storage method and system and a kind of wearable device
CN106920365A (en) * 2015-12-24 2017-07-04 航天信息股份有限公司 A kind of Intelligent bracelet
CN107041736A (en) * 2017-04-26 2017-08-15 广东石油化工学院 Health monitor system
CN107155005A (en) * 2017-04-27 2017-09-12 上海斐讯数据通信技术有限公司 A kind of intelligent wrist wearable device bright screen control method and system
CN107174223A (en) * 2017-05-19 2017-09-19 深圳市盈耳电子有限公司 A kind of intelligent wearable device
CN107247414A (en) * 2017-06-30 2017-10-13 周口师范学院 Artificial intelligence Internet of things system based on wearable device
CN107289935A (en) * 2016-04-01 2017-10-24 中国航空工业第六八研究所 A kind of indoor navigation algorithm suitable for wearable device
CN107329952A (en) * 2017-06-15 2017-11-07 重庆柚瓣科技有限公司 A kind of suitable aging semantic understanding method
WO2017193255A1 (en) * 2016-05-09 2017-11-16 深圳市欸阿技术有限公司 Wearable device and indoor navigation method therefor
CN107468225A (en) * 2017-09-04 2017-12-15 珠海市安信达电子科技有限公司 Home voice health robot system
JP2018045512A (en) * 2016-09-15 2018-03-22 オムロン株式会社 Workability evaluation device
CN107846508A (en) * 2017-10-28 2018-03-27 上海爱优威软件开发有限公司 For the assisted memory method and system of forgetful crowd
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CN111541779A (en) * 2020-07-07 2020-08-14 德能森智能科技(成都)有限公司 Smart residence system based on cloud platform
WO2020228019A1 (en) * 2019-05-16 2020-11-19 李修球 Implementation method for smart home health and elderly care, and intelligent device
CN112000561A (en) * 2020-08-12 2020-11-27 Oppo(重庆)智能科技有限公司 Image generation method, image generation device, medium, and electronic apparatus
CN112120714A (en) * 2019-06-25 2020-12-25 奇酷互联网络科技(深圳)有限公司 Monitoring method of wearable device, wearable device and computer storage medium
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CN112863702A (en) * 2021-02-22 2021-05-28 海信集团控股股份有限公司 Intelligent health service method and display equipment thereof
US11231437B1 (en) 2020-09-25 2022-01-25 United Arab Emirates University Arm motion sensor system
CN114501331A (en) * 2021-12-30 2022-05-13 广东技术师范大学 Self-adaptive physiological monitoring and intelligent scheduling positioning system and method
CN114779658A (en) * 2022-06-21 2022-07-22 深圳市桑尼奇科技有限公司 Be applied to wifi chip of intelligent house

Citations (23)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020171551A1 (en) * 2001-03-15 2002-11-21 Eshelman Larry J. Automatic system for monitoring independent person requiring occasional assistance
CN2572690Y (en) * 2002-09-05 2003-09-10 云南北极光数码科技有限公司 GSM domestic intelligent controller
CN1564219A (en) * 2004-03-25 2005-01-12 浙江工业大学 Household security device for lonely living edged people
CN2729807Y (en) * 2004-09-29 2005-09-28 浙江工业大学 Security protection device for solitary old man or woman
CN1909653A (en) * 2005-08-02 2007-02-07 海尔集团公司 System for monitoring house environment by using wireless terminal and realizing method
CN2916792Y (en) * 2005-06-01 2007-06-27 金钢 Wardship alarm system for the elder
CN101777250A (en) * 2010-01-25 2010-07-14 中国科学技术大学 General remote control device and method for household appliances
CN101849817A (en) * 2010-04-06 2010-10-06 四川东林科技有限公司 Personal health detection system and detection method
CN102764131A (en) * 2012-07-23 2012-11-07 江苏下一代广电网物联网研究中心有限公司 System and method for remotely monitoring and taking care of life of elders
WO2013044476A1 (en) * 2011-09-29 2013-04-04 Nokia Corporation Method and apparatus for recalling content based on contextual data
CN103503041A (en) * 2011-04-29 2014-01-08 皇家飞利浦有限公司 An apparatus for use in a fall detector or fall detection system, and a method of operating the same
CN203589815U (en) * 2013-12-11 2014-05-07 黑龙江工业学院 Mobile power for charging electronic products
CN203606632U (en) * 2013-06-25 2014-05-21 潍坊歌尔电子有限公司 Intelligent watch
CN103927847A (en) * 2014-04-18 2014-07-16 深圳市丰泰瑞达实业有限公司 Intelligent nursing system for old people
US20140203950A1 (en) * 2011-07-21 2014-07-24 Mark Zdeblick Mobile Communication Device, System, and Method
CN104000570A (en) * 2014-05-20 2014-08-27 任锐 Intelligent wearing equipment
CN104197470A (en) * 2014-09-01 2014-12-10 上海摩软通讯技术有限公司 Wearing device, and system and operation method for controlling intelligent household electrical appliances by means of wearing device
CN104288983A (en) * 2014-09-05 2015-01-21 惠州Tcl移动通信有限公司 Wearable device and body building method based on same
CN204166295U (en) * 2014-10-31 2015-02-18 武汉大学 A kind of smart bracelet bracelet wrist-watch of extendable functions module
CN104382653A (en) * 2014-12-10 2015-03-04 广西大学 Wearable equipment system for protecting life safety of old persons
CN104469455A (en) * 2014-11-29 2015-03-25 福建捷联电子有限公司 Device for remotely controlling intelligent television through intelligent hand-held terminal and control method thereof
CN204232417U (en) * 2014-10-22 2015-04-01 中兴通讯股份有限公司 A kind of wrist-watch and watchband
CN104545847A (en) * 2015-01-04 2015-04-29 深圳奇沃智联科技有限公司 Watch ring with physical momentum records

Patent Citations (23)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020171551A1 (en) * 2001-03-15 2002-11-21 Eshelman Larry J. Automatic system for monitoring independent person requiring occasional assistance
CN2572690Y (en) * 2002-09-05 2003-09-10 云南北极光数码科技有限公司 GSM domestic intelligent controller
CN1564219A (en) * 2004-03-25 2005-01-12 浙江工业大学 Household security device for lonely living edged people
CN2729807Y (en) * 2004-09-29 2005-09-28 浙江工业大学 Security protection device for solitary old man or woman
CN2916792Y (en) * 2005-06-01 2007-06-27 金钢 Wardship alarm system for the elder
CN1909653A (en) * 2005-08-02 2007-02-07 海尔集团公司 System for monitoring house environment by using wireless terminal and realizing method
CN101777250A (en) * 2010-01-25 2010-07-14 中国科学技术大学 General remote control device and method for household appliances
CN101849817A (en) * 2010-04-06 2010-10-06 四川东林科技有限公司 Personal health detection system and detection method
CN103503041A (en) * 2011-04-29 2014-01-08 皇家飞利浦有限公司 An apparatus for use in a fall detector or fall detection system, and a method of operating the same
US20140203950A1 (en) * 2011-07-21 2014-07-24 Mark Zdeblick Mobile Communication Device, System, and Method
WO2013044476A1 (en) * 2011-09-29 2013-04-04 Nokia Corporation Method and apparatus for recalling content based on contextual data
CN102764131A (en) * 2012-07-23 2012-11-07 江苏下一代广电网物联网研究中心有限公司 System and method for remotely monitoring and taking care of life of elders
CN203606632U (en) * 2013-06-25 2014-05-21 潍坊歌尔电子有限公司 Intelligent watch
CN203589815U (en) * 2013-12-11 2014-05-07 黑龙江工业学院 Mobile power for charging electronic products
CN103927847A (en) * 2014-04-18 2014-07-16 深圳市丰泰瑞达实业有限公司 Intelligent nursing system for old people
CN104000570A (en) * 2014-05-20 2014-08-27 任锐 Intelligent wearing equipment
CN104197470A (en) * 2014-09-01 2014-12-10 上海摩软通讯技术有限公司 Wearing device, and system and operation method for controlling intelligent household electrical appliances by means of wearing device
CN104288983A (en) * 2014-09-05 2015-01-21 惠州Tcl移动通信有限公司 Wearable device and body building method based on same
CN204232417U (en) * 2014-10-22 2015-04-01 中兴通讯股份有限公司 A kind of wrist-watch and watchband
CN204166295U (en) * 2014-10-31 2015-02-18 武汉大学 A kind of smart bracelet bracelet wrist-watch of extendable functions module
CN104469455A (en) * 2014-11-29 2015-03-25 福建捷联电子有限公司 Device for remotely controlling intelligent television through intelligent hand-held terminal and control method thereof
CN104382653A (en) * 2014-12-10 2015-03-04 广西大学 Wearable equipment system for protecting life safety of old persons
CN104545847A (en) * 2015-01-04 2015-04-29 深圳奇沃智联科技有限公司 Watch ring with physical momentum records

Cited By (52)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105137797A (en) * 2015-08-31 2015-12-09 成都科创城科技有限公司 Smart home ecological system with multiple voice signal collection devices
WO2017049500A1 (en) * 2015-09-23 2017-03-30 深圳还是威健康科技有限公司 Method for controlling home appliances, and smart wristband
CN105765467A (en) * 2015-09-23 2016-07-13 深圳还是威健康科技有限公司 A household appliance controlling method and an intelligent wristband
CN105310696A (en) * 2015-11-06 2016-02-10 中国科学院计算技术研究所 Fall detection model construction method as well as corresponding fall detection method and apparatus
CN105515221A (en) * 2015-12-22 2016-04-20 深圳爱易瑞科技有限公司 Intelligent necklace
CN105515221B (en) * 2015-12-22 2018-11-30 深圳市景方盈科技有限公司 A kind of intelligence necklace
CN106920365A (en) * 2015-12-24 2017-07-04 航天信息股份有限公司 A kind of Intelligent bracelet
CN105595978A (en) * 2016-03-15 2016-05-25 中山大学 Old-person home-old-aged-caring monitoring system and method based on indoor positioning
CN105843056A (en) * 2016-03-27 2016-08-10 无锡南理工科技发展有限公司 Internet-of-things smart home system
CN107289935A (en) * 2016-04-01 2017-10-24 中国航空工业第六八研究所 A kind of indoor navigation algorithm suitable for wearable device
CN105975065A (en) * 2016-04-28 2016-09-28 上海海漾软件技术有限公司 Screen control method and device of smartwatch, and smartwatch
WO2017193255A1 (en) * 2016-05-09 2017-11-16 深圳市欸阿技术有限公司 Wearable device and indoor navigation method therefor
CN107529339A (en) * 2016-05-09 2017-12-29 深圳市欸阿技术有限公司 The method of wearable device and its indoor navigation
CN105997025A (en) * 2016-05-13 2016-10-12 江苏铂英特电子科技有限公司 Multi-purpose health monitoring intelligent device
CN106039499A (en) * 2016-05-17 2016-10-26 王亚平 Intelligent breathing circle pressure monitoring and alarming system
CN106056516B (en) * 2016-05-31 2018-12-04 杭州致峰网络科技有限公司 monitoring method and system
CN106056516A (en) * 2016-05-31 2016-10-26 杭州致峰网络科技有限公司 Monitoring method and monitoring system
JP2018045512A (en) * 2016-09-15 2018-03-22 オムロン株式会社 Workability evaluation device
CN106527598A (en) * 2016-12-15 2017-03-22 公安部第三研究所 Police wrist type wearing device for public security law enforcement and application system
CN106777973A (en) * 2016-12-15 2017-05-31 北京奇虎科技有限公司 The automatic method for formulating training plan, device and server
CN106873770A (en) * 2016-12-31 2017-06-20 歌尔科技有限公司 A kind of user behavior data storage method and system and a kind of wearable device
CN106873770B (en) * 2016-12-31 2020-07-10 歌尔科技有限公司 User behavior data storage method and system and wearable device
CN107041736A (en) * 2017-04-26 2017-08-15 广东石油化工学院 Health monitor system
CN107155005A (en) * 2017-04-27 2017-09-12 上海斐讯数据通信技术有限公司 A kind of intelligent wrist wearable device bright screen control method and system
CN107174223A (en) * 2017-05-19 2017-09-19 深圳市盈耳电子有限公司 A kind of intelligent wearable device
CN107329952A (en) * 2017-06-15 2017-11-07 重庆柚瓣科技有限公司 A kind of suitable aging semantic understanding method
CN107247414A (en) * 2017-06-30 2017-10-13 周口师范学院 Artificial intelligence Internet of things system based on wearable device
CN111093403A (en) * 2017-07-17 2020-05-01 莱战略控股公司 Video analysis camera system for aerosol delivery device
US11606971B2 (en) 2017-07-17 2023-03-21 Rai Strategic Holdings, Inc. Video analytics camera system for an aerosol delivery device
CN107468225A (en) * 2017-09-04 2017-12-15 珠海市安信达电子科技有限公司 Home voice health robot system
CN107846508A (en) * 2017-10-28 2018-03-27 上海爱优威软件开发有限公司 For the assisted memory method and system of forgetful crowd
CN107951476A (en) * 2017-12-15 2018-04-24 珠海格力电器股份有限公司 Health monitoring system
CN108124008A (en) * 2017-12-20 2018-06-05 山东大学 A kind of old man under intelligent space environment accompanies and attends to system and method
CN110570940A (en) * 2018-06-05 2019-12-13 鑀錹科技有限公司 Internet of things architecture for medical health diagnosis
CN110849506A (en) * 2018-08-20 2020-02-28 佳纶生技股份有限公司 Pressure sensing pad with prompting function and prompting method of pressure sensing pad
CN109035698A (en) * 2018-08-29 2018-12-18 广东工业大学 A kind of safe and healthy monitor system of the elderly based on wearable device
CN109222904A (en) * 2018-08-29 2019-01-18 广东工业大学 A kind of the elderly's safe condition determination method and device based on multidimensional data
CN112805760A (en) * 2018-11-15 2021-05-14 广东高驰运动科技有限公司 Fall detection method, device, equipment and storage medium
WO2020228019A1 (en) * 2019-05-16 2020-11-19 李修球 Implementation method for smart home health and elderly care, and intelligent device
CN112120714A (en) * 2019-06-25 2020-12-25 奇酷互联网络科技(深圳)有限公司 Monitoring method of wearable device, wearable device and computer storage medium
CN112120714B (en) * 2019-06-25 2023-04-25 奇酷互联网络科技(深圳)有限公司 Monitoring method of wearable device, wearable device and computer storage medium
CN110853753A (en) * 2019-11-26 2020-02-28 上海健康医学院 Cognitive dysfunction old man rehabilitation and nursing system at home
CN110890153A (en) * 2019-12-30 2020-03-17 苏州普康智慧养老产业科技有限公司 Intelligent nursing and alarming system for home-based care of the aged
CN111541779B (en) * 2020-07-07 2021-05-25 德能森智能科技(成都)有限公司 Smart residence system based on cloud platform
CN111541779A (en) * 2020-07-07 2020-08-14 德能森智能科技(成都)有限公司 Smart residence system based on cloud platform
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