DocumentCode :
3497423
Title :
A spatio-temporal architecture for context aware sensing
Author :
Thiemjarus, Surapa ; Lo, Benny ; Yang, Guang-Zhong
Author_Institution :
Dept. of Comput., Imperial Coll., England
fYear :
2006
fDate :
3-5 April 2006
Lastpage :
194
Abstract :
Context-aware sensing is an integral part of the body sensor network (BSN) design and it allows the understanding of intrinsic characteristics of the sensed signal and determination of how BSNs should react to different events and adapt its monitoring behaviour. The purpose of this paper is to propose a novel spatio-temporal self-organising map that minimises the number of neurons involved whilst maintaining a high accuracy in class separation for both static and dynamic activities
Keywords :
biomedical equipment; patient monitoring; self-organising feature maps; ubiquitous computing; wireless sensor networks; body sensor network design; context aware sensing; monitoring behaviour; neurons; spatio-temporal self-organising map; Acceleration; Artificial neural networks; Biomedical monitoring; Body sensor networks; Computer architecture; Context awareness; Heart rate; Neurons; Patient monitoring; Pervasive computing; SOM; STSOM; body sensor networks; context aware sensing; self-organising maps;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wearable and Implantable Body Sensor Networks, 2006. BSN 2006. International Workshop on
Conference_Location :
Cambridge, MA
Print_ISBN :
0-7695-2547-4
Type :
conf
DOI :
10.1109/BSN.2006.5
Filename :
1612928
Link To Document :
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