On-body device localization for health and medical monitoring applications

Authors:
Alireza Vahdatpour;Navid Amini;Majid Sarrafzadeh
Affiliations:
Computer Science Department, University of California, Los Angeles, USA;Computer Science Department, University of California, Los Angeles, USA;Computer Science Department, University of California, Los Angeles, USA
Venue:
PERCOM '11 Proceedings of the 2011 IEEE International Conference on Pervasive Computing and Communications
Year:
2011

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Abstract

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.