Title :
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
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;
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
DOI :
10.1109/AINAW.2007.69
