research-article

MyoVibe: vibration based wearable muscle activation detection in high mobility exercises

Authors:

Pei ZhangAuthors Info & Claims

UbiComp '15: Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Pages 27 - 38

https://doi.org/10.1145/2750858.2804258

Published: 07 September 2015 Publication History

Abstract

Skeletal muscles are activated to generate the force needed for movement in most high motion sports and exercises. However, incorrect skeletal muscle activation during these sports and exercises, can lead to sub-optimal performance and injury. Existing techniques are susceptible to motion artifacts, particularly when used in high motion sports (e.g. jumping, cycling, etc.). They require limited body movement, or experts to manually interpret results, making them unsuitable in sports scenarios.

This paper presents MyoVibe, a wearable system for determining muscle activation in high motion exercise scenarios. MyoVibe senses muscle vibration signals obtained from a wearable network of accelerometers to determine muscle activation. By modeling the characteristics of muscles and high motion noise using extreme value analysis, MyoVibe can reduce noise due to high mobility exercises. Our system can predict muscle activation with greater than 97% accuracy in isometric low motion exercise cases, up to 90% accuracy in high motion exercises.

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Cited By

Guo XWang YCheng JChen YGuo XWang YCheng JChen Y(2024)Fitness Assistance Using Motion SensorMobile Technologies for Smart Healthcare System Design10.1007/978-3-031-57345-3_6(127-152)Online publication date: 3-Jul-2024
https://doi.org/10.1007/978-3-031-57345-3_6
Liang YQin YLi QYan XHuangfu LSamtani SGuo BYu Z(2023)An Escalated Eavesdropping Attack on Mobile Devices via Low-Resolution Vibration SignalsIEEE Transactions on Dependable and Secure Computing10.1109/TDSC.2022.319893420:4(3037-3050)Online publication date: 1-Jul-2023
https://doi.org/10.1109/TDSC.2022.3198934
Cheng SSarwar MDaraghmi Yİk TLi Y(2023)Periodic Physical Activity Information Segmentation, Counting and Recognition From VideoIEEE Access10.1109/ACCESS.2023.324758311(23019-23031)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3247583
Show More Cited By

Index Terms

MyoVibe: vibration based wearable muscle activation detection in high mobility exercises
1. Applied computing
  1. Life and medical sciences
    1. Health care information systems

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cover image ACM Conferences

UbiComp '15: Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 2015

1302 pages

ISBN:9781450335744

DOI:10.1145/2750858

General Chairs:
Kenji Mase
Nagoya University, JP
,
Marc Langheinrich
Università della Svizzera italiana (USI), CH
,
Daniel Gatica-Perez
IDIAP-EPFL, CH
,
Program Chairs:
Hans Gellersen
Lancaster University, UK
,
Tanzeem Choudhury
Cornell University
,
Koji Yatani
Univerisity of Tokyo, JP

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Yahoo! Japan: Yahoo! Japan
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
FX Palo Alto Laboratory, Inc.: FX Palo Alto Laboratory, Inc.
Google Inc.
ACM: Association for Computing Machinery
Rakuten Institute of Technology: Rakuten Institute of Technology
Microsoft: Microsoft
Bell Labs: Bell Laboratories
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
KDDI
Panasonic: Panasonic Corporation
NTT DoCoMo
Telefónica: Telefónica
ISTC-PC: Intel Science and Technology Center for Pervasive Computing

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Published: 07 September 2015

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Yahoo! Japan
SIGMOBILE
FX Palo Alto Laboratory, Inc.
ACM
Rakuten Institute of Technology
Microsoft
Bell Labs
SIGCHI
Panasonic
Telefónica
ISTC-PC

UbiComp '15: The 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 7 - 11, 2015

Osaka, Japan

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UbiComp '15 Paper Acceptance Rate 101 of 394 submissions, 26%;

Overall Acceptance Rate 764 of 2,912 submissions, 26%

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Cited By

Guo XWang YCheng JChen YGuo XWang YCheng JChen Y(2024)Fitness Assistance Using Motion SensorMobile Technologies for Smart Healthcare System Design10.1007/978-3-031-57345-3_6(127-152)Online publication date: 3-Jul-2024
https://doi.org/10.1007/978-3-031-57345-3_6
Liang YQin YLi QYan XHuangfu LSamtani SGuo BYu Z(2023)An Escalated Eavesdropping Attack on Mobile Devices via Low-Resolution Vibration SignalsIEEE Transactions on Dependable and Secure Computing10.1109/TDSC.2022.319893420:4(3037-3050)Online publication date: 1-Jul-2023
https://doi.org/10.1109/TDSC.2022.3198934
Cheng SSarwar MDaraghmi Yİk TLi Y(2023)Periodic Physical Activity Information Segmentation, Counting and Recognition From VideoIEEE Access10.1109/ACCESS.2023.324758311(23019-23031)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3247583
Sandhu MKhalifa SPortmann MJurdak RSandhu MKhalifa SPortmann MJurdak R(2023)IntroductionSelf-Powered Internet of Things10.1007/978-3-031-27685-9_1(3-12)Online publication date: 17-Jun-2023
https://doi.org/10.1007/978-3-031-27685-9_1
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Rohal SShriram SNguyen VPan SAshok APal PScataglini SPal PBritto A(2022)FinePoseProceedings of the 2022 Workshop on Body-centric Computing Systems10.1145/3539489.3539590(19-24)Online publication date: 1-Jul-2022
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Yang YWang HJiang RGuo XCheng JChen Y(2022)A Review of IoT-Enabled Mobile Healthcare: Technologies, Challenges, and Future TrendsIEEE Internet of Things Journal10.1109/JIOT.2022.31444009:12(9478-9502)Online publication date: 15-Jun-2022
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Shriram SRohal SHu ZZhang YNguyen PPan S(2022)Poster Abstract: Sedentary Posture Muscle Monitoring via Active Vibratory Sensing2022 21st ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)10.1109/IPSN54338.2022.00066(531-532)Online publication date: May-2022
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Bi RGao DZeng XZhu Q(2022)LAZIER: A Virtual Fitness Coach Based on AI Technology2022 IEEE 5th International Conference on Information Systems and Computer Aided Education (ICISCAE)10.1109/ICISCAE55891.2022.9927664(207-212)Online publication date: 23-Sep-2022
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Boumpa ETsoukas VGkogkidis ASpathoulas GKakarountas A(2022)Security and Privacy Concerns for Healthcare Wearable Devices and Emerging Alternative ApproachesWireless Mobile Communication and Healthcare10.1007/978-3-031-06368-8_2(19-38)Online publication date: 7-Jun-2022
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