DocumentCode :
428562
Title :
A connectionist embedded agent approach for abnormal behaviour detection in intelligent health care environments
Author :
Rivera-Illingworth, Fernando ; Callaghan, Victor ; Hagras, Hani
Author_Institution :
Dept. of Comput. Sci., Essex Univ., Colchester, UK
Volume :
4
fYear :
2004
fDate :
10-13 Oct. 2004
Firstpage :
3565
Abstract :
This work aims to realise the vision of ambient intelligence in health care environments. The proposed system combines the use of unobtrusive sensors and effectors with intelligent embedded-agents. This paper presents a novel embedded agent mechanism based on an adaptive neural approach which is able to recognize activities inside an environment in an on-line mode. Its ultimate goal is to learn, discriminate and react to personal behaviours and signal departures from the normal behaviour that are significant to health care applications. Experiments were performed in a pervasive computing test-bed known as the iDorm. The presented results show that the system is able to characterize a normal set of activities as well as detecting novel or abnormal activities inside an environment.
Keywords :
computerised instrumentation; embedded systems; end effectors; health care; medical robotics; multi-agent systems; neural nets; ubiquitous computing; abnormal behaviour detection; adaptive neural approach; ambient intelligence; connectionist embedded agent approach; intelligent health care environments; pervasive computing test-bed iDorm; unobtrusive sensors; Ambient intelligence; Competitive intelligence; Computer science; Intelligent agent; Intelligent sensors; Medical services; Performance evaluation; Pervasive computing; Sensor systems; Wearable sensors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2004 IEEE International Conference on
ISSN :
1062-922X
Print_ISBN :
0-7803-8566-7
Type :
conf
DOI :
10.1109/ICSMC.2004.1400895
Filename :
1400895
Link To Document :
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