Addressing Context Awareness Techniques in Body Sensor Networks

Authors:
Barbara T. Korel;Simon G. M. Koo
Affiliations:
University of San Diego, USA;University of San Diego, USA
Venue:
AINAW '07 Proceedings of the 21st International Conference on Advanced Information Networking and Applications Workshops - Volume 02
Year:
2007

Citing 0
Cited 3

A Smart Solution for Elders in Ambient Assisted Living

IWINAC '09 Proceedings of the 3rd International Work-Conference on The Interplay Between Natural and Artificial Computation: Part II: Bioinspired Applications in Artificial and Natural Computation
SVM based context awareness using body area sensor network for pervasive healthcare monitoring

Proceedings of the First International Conference on Intelligent Interactive Technologies and Multimedia
Design considerations for assistive platforms in ambient computing for disabled people - wheelchair in an ambient environment

ICOST'11 Proceedings of the 9th international conference on Toward useful services for elderly and people with disabilities: smart homes and health telematics

Quantified Score

Hi-index	0.00

Visualization

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.