demonstration

SEPTIMU: continuous in-situ human wellness monitoring and feedback using sensors embedded in earphones

Authors:

John StankovicAuthors Info & Claims

IPSN '12: Proceedings of the 11th international conference on Information Processing in Sensor Networks

Pages 159 - 160

https://doi.org/10.1145/2185677.2185727

Published: 16 April 2012 Publication History

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Abstract

A mobile phone, as a pervasive device, has great potential in human wellness monitoring. In this demo, we first present the design and implementation of our hardware - SEPTIMU. SEPTIMU consists of a small baseboard and a pair of tiny sensor boards embedded inside conventional earphones. The baseboard provides power conversion and data communication through the normal audio jack interface. The embedded sensor board is 1×1cm² and integrates 3-axis accelerometer, gyroscope, thermometer, photodiode and microphone. Secondly, we evaluate SEPTIMU using a mobile application that continuously monitors body posture and provides feedback to the user.

References

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Y. S. Kuo, T. Schmid, and P. Dutta. 2010. Hijacking power and bandwidth from the mobile phone's audio interface. In Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems (SenSys '10). ACM, New York, NY, USA.

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S. Consolvo, D. W. McDonald, and et al. 2008. Activity sensing in the wild: a field trial of ubifit garden. In Proceedings of the twenty-sixth annual SIGCHI conference on Human factors in computing systems (CHI '08). ACM, New York, NY, USA.

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Q. Li, G. Zhou, and J. A. Stankovic. 2008. Accurate, fast fall detection using posture and context information. In Proceedings of the 6th ACM conference on Embedded network sensor systems (SenSys '08). ACM, New York, NY, USA.

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M. Z. Poh, K. Kim, and et al. 2009. Heartphones: Sensor Earphones and Mobile Application for Non-obtrusive Health Monitoring, Wearable Computers, ISWC '09. International Symposium on, vol., no., pp. 153--154, 4-7 Sept. 2009.

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Cited By

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Hou KXia SBejerano EWu JJiang X(2023)ARSteth: Enabling Home Self-Screening with AR-Assisted Intelligent StethoscopesProceedings of the 22nd International Conference on Information Processing in Sensor Networks10.1145/3583120.3586962(205-218)Online publication date: 9-May-2023
https://dl.acm.org/doi/10.1145/3583120.3586962
Röddiger TClarke CBreitling PSchneegans TZhao HGellersen HBeigl M(2022)Sensing with EarablesProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35503146:3(1-57)Online publication date: 7-Sep-2022
https://dl.acm.org/doi/10.1145/3550314
Lawanont WInoue MMongkolnam PNukoolkit C(2018)Neck posture monitoring system based on image detection and smartphone sensors using the prolonged usage classification conceptIEEJ Transactions on Electrical and Electronic Engineering10.1002/tee.2277813:10(1501-1510)Online publication date: 31-Jul-2018
https://doi.org/10.1002/tee.22778
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Index Terms

SEPTIMU: continuous in-situ human wellness monitoring and feedback using sensors embedded in earphones
1. Computer systems organization
  1. Embedded and cyber-physical systems
  2. Real-time systems

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Published In

IPSN '12: Proceedings of the 11th international conference on Information Processing in Sensor Networks

April 2012

354 pages

ISBN:9781450312271

DOI:10.1145/2185677

General Chair:
Feng Zhao
Microsoft Research Asia, China
,
Program Chairs:
Andreas Terzis
Johns Hopkins University, USA
,
Kamin Whitehouse
University of Virginia, USA

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 April 2012

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IPSN '12: The 11th International Conference on Information Processing in Sensor Networks

April 16 - 20, 2012

Beijing, China

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Overall Acceptance Rate 143 of 593 submissions, 24%

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Hou KXia SBejerano EWu JJiang X(2023)ARSteth: Enabling Home Self-Screening with AR-Assisted Intelligent StethoscopesProceedings of the 22nd International Conference on Information Processing in Sensor Networks10.1145/3583120.3586962(205-218)Online publication date: 9-May-2023
https://dl.acm.org/doi/10.1145/3583120.3586962
Röddiger TClarke CBreitling PSchneegans TZhao HGellersen HBeigl M(2022)Sensing with EarablesProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35503146:3(1-57)Online publication date: 7-Sep-2022
https://dl.acm.org/doi/10.1145/3550314
Lawanont WInoue MMongkolnam PNukoolkit C(2018)Neck posture monitoring system based on image detection and smartphone sensors using the prolonged usage classification conceptIEEJ Transactions on Electrical and Electronic Engineering10.1002/tee.2277813:10(1501-1510)Online publication date: 31-Jul-2018
https://doi.org/10.1002/tee.22778
Machado Neto OPereira AC. Elui VC. Pimentel Mde Jesus Lima Gomes Fde Andrade Lira Rabelo Rde Salles Soares Neto CWillrich RCamillo Teixeira Cde Almeida Jde Carvalho W(2016)Posture Monitoring via Mobile DevicesProceedings of the 22nd Brazilian Symposium on Multimedia and the Web10.1145/2976796.2976870(55-61)Online publication date: 8-Nov-2016
https://dl.acm.org/doi/10.1145/2976796.2976870
Tanaka KIshimaru SKise KKunze KInami MArnrich BErsoy C(2015)Nekoze!Proceedings of the 9th International Conference on Pervasive Computing Technologies for Healthcare10.5555/2826165.2826203(237-240)Online publication date: 20-May-2015
https://dl.acm.org/doi/10.5555/2826165.2826203
Paliyawan PNukoolkit CMongkolnam P(2014)Prolonged sitting detection for office workers syndrome prevention using kinect2014 11th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)10.1109/ECTICon.2014.6839785(1-6)Online publication date: May-2014
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Lee HChoi YLee SShim EMackay WBrewster SBødker S(2013)Smart poseCHI '13 Extended Abstracts on Human Factors in Computing Systems10.1145/2468356.2468747(2257-2266)Online publication date: 27-Apr-2013
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Lee HLee SChoi YYoungwan Seo Eunsoo Shim (2013)A new posture monitoring system for preventing physical illness of smartphone users2013 IEEE 10th Consumer Communications and Networking Conference (CCNC)10.1109/CCNC.2013.6488532(713-716)Online publication date: Jan-2013
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Hu PShen GJiang XShih SLu DZhao FHong DLi QNirjon SDickerson RStankovic JEskicioglu RCampbell ALangendoen K(2012)Septimu2 - earphones for continuous and non-intrusive physiological and environmental monitoringProceedings of the 10th ACM Conference on Embedded Network Sensor Systems10.1145/2426656.2426722(387-388)Online publication date: 6-Nov-2012
https://dl.acm.org/doi/10.1145/2426656.2426722
Lee HChoi YLee SDey AChu HHayes G(2012)Mobile posture monitoring system to prevent physical health risk of smartphone usersProceedings of the 2012 ACM Conference on Ubiquitous Computing10.1145/2370216.2370320(592-593)Online publication date: 5-Sep-2012
https://dl.acm.org/doi/10.1145/2370216.2370320

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Septimu² - earphones for continuous and non-intrusive physiological and environmental monitoring

BodyBeat: a mobile system for sensing non-speech body sounds

EarHealth: an earphone-based acoustic otoscope for detection of multiple ear diseases in daily life

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Septimu2 - earphones for continuous and non-intrusive physiological and environmental monitoring

BodyBeat: a mobile system for sensing non-speech body sounds

EarHealth: an earphone-based acoustic otoscope for detection of multiple ear diseases in daily life

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Septimu² - earphones for continuous and non-intrusive physiological and environmental monitoring