Xingjun, 2021 - Google Patents
Application of Motion Sensor Fusion in Special Competitive SportsXingjun, 2021
View PDF- Document ID
- 16341410653967832771
- Author
- Xingjun D
- Publication year
- Publication venue
- Journal of Sensors
External Links
Snippet
With the advancement of science and technology and the rapid development of the field of intelligence, new sensor technology has also made great progress. The availability and use speed of motion sensor technology are increasing rapidly, while its cost is reduced, the …
- 230000002860 competitive 0 title abstract description 8
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1121—Determining geometric values, e.g. centre of rotation or angular range of movement
- A61B5/1122—Determining geometric values, e.g. centre of rotation or angular range of movement of movement trajectories
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1112—Global tracking of patients, e.g. by using GPS
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6802—Sensor mounted on worn items
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6813—Specially adapted to be attached to a specific body part
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US11455909B2 (en) | Identification and analysis of movement using sensor devices | |
Gao et al. | Wearable human motion posture capture and medical health monitoring based on wireless sensor networks | |
Kristoffersson et al. | A systematic review of wearable sensors for monitoring physical activity | |
CN102567638B (en) | A kind of interactive upper limb healing system based on microsensor | |
Zheng et al. | On the design of a wearable multi-sensor system for recognizing motion modes and sit-to-stand transition | |
Zhao et al. | Detection and recognition of human body posture in motion based on sensor technology | |
Ruffaldi et al. | Sensor fusion for complex articulated body tracking applied in rowing | |
Li | [Retracted] Dance Motion Capture Based on Data Fusion Algorithm and Wearable Sensor Network | |
Wang et al. | Motion recognition for smart sports based on wearable inertial sensors | |
Haralabidis et al. | Fusing accelerometry with videography to monitor the effect of fatigue on punching performance in elite boxers | |
Huang et al. | The Diverse Gait Dataset: Gait segmentation using inertial sensors for pedestrian localization with different genders, heights and walking speeds | |
Cerfoglio et al. | Machine learning-based estimation of ground reaction forces and knee joint kinetics from inertial sensors while performing a vertical drop jump | |
Wang | Multisensor data fusion of motion monitoring system based on BP neural network | |
Shin et al. | Markerless motion tracking with noisy video and imu data | |
Xingjun | Application of Motion Sensor Fusion in Special Competitive Sports | |
Yuan et al. | Adaptive recognition of motion posture in sports video based on evolution equation | |
Yang et al. | Health analysis of footballer using big data and deep learning | |
Lin | RETRACTED ARTICLE: Research on film animation design based on inertial motion capture algorithm | |
Wang | Sports training auxiliary decision support system based on neural network algorithm | |
Sundaravadivel et al. | Smart-walk: An intelligent physiological monitoring system for smart families | |
Jin | Design of intelligent perception module based on wireless sensor network and basketball sports attitude | |
Rodríguez-Silva et al. | Human motion tracking and gait analysis: a brief review of current sensing systems and integration with intelligent environments | |
Li et al. | [Retracted] Tracking of Gymnast’s Limb Movement Trajectory Based on MEMS Inertial Sensor | |
Zhang | Track and field training state analysis based on acceleration sensor and deep learning | |
Wilmes et al. | New training load metrics in field hockey using inertial measurement units |