Addressing Context Awareness Techniques in Body Sensor Networks

Author

Korel, Barbara T. ; Koo, Simon G M

Author_Institution

Dept. of Math. & Comput. Sci., Univ. of San Diego, San Diego, CA

Volume

2

fYear

2007

fDate

21-23 May 2007

Firstpage

798

Lastpage

803

Abstract

Context awareness in Body Sensor Networks (BSNs) has the significance of associating physiological user activity and environment to the sensed signals of the user. The context information derived in a BSN can be used in pervasive healthcare monitoring for relating importance to events and specifically for accurate episode detection. In this paper, we address the issues of context-aware sensing in BSNs, along with a comparison of different techniques for deducing context awareness, namely, Artificial Neural Networks, Bayesian Networks, and Hidden Markov Models.

Keywords

Bayes methods; Markov processes; computerised monitoring; health care; neural nets; ubiquitous computing; wearable computers; Bayesian networks; artificial neural networks; body sensor networks; context awareness techniques; context-aware sensing; hidden Markov models; pervasive healthcare monitoring; Artificial neural networks; Bayesian methods; Biomedical monitoring; Body sensor networks; Context awareness; Medical services; Patient monitoring; Sensor phenomena and characterization; Wearable sensors; Wireless sensor networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Information Networking and Applications Workshops, 2007, AINAW '07. 21st International Conference on

Conference_Location

Niagara Falls, Ont.

Print_ISBN

978-0-7695-2847-2

Type

conf

DOI

10.1109/AINAW.2007.69

Filename

4224203