Title :
On-body device localization for health and medical monitoring applications
Author :
Vahdatpour, Alireza ; Amini, Navid ; Sarrafzadeh, Majid
Author_Institution :
Comput. Sci. Dept., Univ. of California, Los Angeles, CA, USA
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.
Keywords :
accelerometers; body sensor networks; medical computing; patient monitoring; time series; accelerometers; automatic on-body device localization; health monitoring system; medical monitoring system; ubiquitous devices; unsupervised time series analysis methods; Accelerometers; Accuracy; Feature extraction; Legged locomotion; Monitoring; Sensors; Time series analysis; Motion analysis; On-body device localization; Unsupervised activity discovery;
Conference_Titel :
Pervasive Computing and Communications (PerCom), 2011 IEEE International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4244-9530-6
Electronic_ISBN :
978-1-4244-9528-3
DOI :
10.1109/PERCOM.2011.5767593
