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

fYear

2011

fDate

21-25 March 2011

Firstpage

37

Lastpage

44

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/PERCOM.2011.5767593

Filename

5767593