TITLE:
A Survey on Context-Aware Sensing for Body Sensor Networks
AUTHORS:
Barbara T. Korel, Simon G. M. Koo
KEYWORDS:
Context Awareness, Body Sensor Networks, Artificial Neural Networks, Bayesian Networks, Hidden Markov Models
JOURNAL NAME:
Wireless Sensor Network,
Vol.2 No.8,
August
3,
2010
ABSTRACT: Context awareness in Body Sensor Networks (BSNs) has the significance of associating physiological user activity and the environment to the sensed signals of the user. The context information derived from 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 issue of context-aware sensing in BSNs, and survey different techniques for deducing context awareness.