On-body device localization for health and medical monitoring applications

We present a technique to discover the position of sensors on the human body. Automatic on-body device localization ensures correctness and accuracy of measurements in health and medical monitoring systems. In addition, it provides opportunities to improve the performance and usability of ubiquitous...

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Bibliographic Details
Published in2011 IEEE International Conference on Pervasive Computing and Communications (PerCom) pp. 37 - 44
Main Authors Vahdatpour, A., Amini, N., Sarrafzadeh, M.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2011
Subjects
Accelerometers
Accuracy
Feature extraction
Legged locomotion
Monitoring
Motion analysis
On-body device localization
Sensors
Time series analysis
Unsupervised activity discovery
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Summary:We present a technique to discover the position of sensors on the human body. Automatic on-body device localization ensures correctness and accuracy of measurements in health and medical monitoring systems. In addition, it provides opportunities to improve the performance and usability of ubiquitous devices. Our technique uses accelerometers to capture motion data to estimate the location of the device on the user's body, using mixed supervised and unsupervised time series analysis methods. We have evaluated our technique with extensive experiments on 25 subjects. On average, our technique achieves 89% accuracy in estimating the location of devices on the body.
ISBN:142449530X
9781424495306
DOI:10.1109/PERCOM.2011.5767593