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D. Patterson, D. Fox, H. Kautz and M. Philipose, “Expressive, Tractable and Scalable Techniques for Modeling Activities of Daily Living,” Proceedings of the 2nd International Workshop on Ubiquitous Computing for Pervasive Healthcare Applications, 2003.

has been cited by the following article:

• 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.