Article

Where am i: recognizing on-body positions of wearable sensors

Authors:

Gerhard TrösterAuthors Info & Claims

LoCA'05: Proceedings of the First international conference on Location- and Context-Awareness

Pages 264 - 275

https://doi.org/10.1007/11426646_25

Published: 12 May 2005 Publication History

Abstract

The paper describes a method that allows us to derive the location of an acceleration sensor placed on the user's body solely based on the sensor's signal. The approach described here constitutes a first step in our work towards the use of sensors integrated in standard appliances and accessories carried by the user for complex context recognition. It is also motivated by the fact that device location is an important context (e.g. glasses being worn vs. glasses in a jacket pocket). Our method uses a (sensor) location and orientation invariant algorithm to identify time periods where the user is walking and then leverages the specific characteristics of walking motion to determine the location of the body-worn sensor.

In the paper we outline the relevance of sensor location recognition for appliance based context awareness and then describe the details of the method. Finally, we present the results of an experimental study with six subjects and 90 walking sections spread over several hours indicating that reliable recognition is feasible. The results are in the low nineties for frame by frame recognition and reach 100% for the more relevant event based case.

References

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Cited By

Wiese J(2021)Personal Context from Mobile Phones—Case Study 5Intelligent Computing for Interactive System Design10.1145/3447404.3447424(341-376)Online publication date: 23-Feb-2021
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Yoshida KMurao KFarrahi KHarle RLane N(2019)Estimating load positions of wearable devices based on difference in pulse wave arrival timeProceedings of the 2019 ACM International Symposium on Wearable Computers10.1145/3341163.3347743(234-243)Online publication date: 9-Sep-2019
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Rey VLukowicz P(2017)Label PropagationProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/31309591:3(1-24)Online publication date: 11-Sep-2017
https://dl.acm.org/doi/10.1145/3130959
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Where am i: recognizing on-body positions of wearable sensors
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Published In

cover image Guide Proceedings

LoCA'05: Proceedings of the First international conference on Location- and Context-Awareness

May 2005

376 pages

ISBN:3540258965

Editors:
Thomas Strang
Institute of Communications and Navigation, German Aerospace Center, 82234 Wessling/Oberpfaffenhofen, Germany, and Digital Enterprise Research Institute (DERI), University of Innsbruck, 6020 Innsbruck,, Austria
,
Claudia Linnhoff-Popien
Mobile and Distributed Systems Group, Institute for Informatics, Ludwig-Maximilian University Munich, Germany

Publisher

Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 12 May 2005

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Cited By

Wiese J(2021)Personal Context from Mobile Phones—Case Study 5Intelligent Computing for Interactive System Design10.1145/3447404.3447424(341-376)Online publication date: 23-Feb-2021
https://dl.acm.org/doi/10.1145/3447404.3447424
Yoshida KMurao KFarrahi KHarle RLane N(2019)Estimating load positions of wearable devices based on difference in pulse wave arrival timeProceedings of the 2019 ACM International Symposium on Wearable Computers10.1145/3341163.3347743(234-243)Online publication date: 9-Sep-2019
https://dl.acm.org/doi/10.1145/3341163.3347743
Rey VLukowicz P(2017)Label PropagationProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/31309591:3(1-24)Online publication date: 11-Sep-2017
https://dl.acm.org/doi/10.1145/3130959
Wu JJafari R(2017)Seamless Vision-assisted Placement Calibration for Wearable Inertial SensorsACM Transactions on Embedded Computing Systems10.1145/302336416:3(1-22)Online publication date: 7-Jul-2017
https://dl.acm.org/doi/10.1145/3023364
Issarny VMallet VNguyen KRaverdy PRebhi FVentura R(2016)Dos and Don'ts in Mobile Phone Sensing MiddlewareProceedings of the 17th International Middleware Conference10.1145/2988336.2988353(1-13)Online publication date: 28-Nov-2016
https://dl.acm.org/doi/10.1145/2988336.2988353
Sato MYoshida SOlwal AShi BHiyama ATanikawa THirose MRaskar RBegole BKim JInkpen KWoo W(2015)SpecTransProceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems10.1145/2702123.2702169(2191-2200)Online publication date: 18-Apr-2015
https://dl.acm.org/doi/10.1145/2702123.2702169
Hoseinitabatabaei SGluhak ATafazolli R(2015)Towards a position and orientation independent approach for pervasive observation of user direction with mobile phonesPervasive and Mobile Computing10.1016/j.pmcj.2014.02.00217:PA(23-42)Online publication date: 1-Feb-2015
https://dl.acm.org/doi/10.1016/j.pmcj.2014.02.002
Wu JJafari RNilsen WPenders JPavel MRaij A(2014)Zero-Effort Camera-Assisted Calibration Techniques for Wearable Motion SensorsProceedings of the Wireless Health 2014 on National Institutes of Health10.1145/2668883.2668888(1-8)Online publication date: 29-Oct-2014
https://dl.acm.org/doi/10.1145/2668883.2668888
Saeedi RSchimert BGhasemzadeh HBrush AFriday AKientz JScott JSong J(2014)Cost-sensitive feature selection for on-body sensor localizationProceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication10.1145/2638728.2641313(833-842)Online publication date: 13-Sep-2014
https://dl.acm.org/doi/10.1145/2638728.2641313
Bulling ABlanke USchiele B(2014)A tutorial on human activity recognition using body-worn inertial sensorsACM Computing Surveys10.1145/249962146:3(1-33)Online publication date: 1-Jan-2014
https://dl.acm.org/doi/10.1145/2499621
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