Towards the detection of temporal behavioural patterns in intelligent environments
Towards the detection of temporal behavioural patterns in intelligent environments
- Author(s):
- DOI: 10.1049/cp:20060633
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- Author(s): Source: 2nd IET International Conference on Intelligent Environments (IE 06), 2006 page ()
- Conference: 2nd IET International Conference on Intelligent Environments (IE 06)
- DOI: 10.1049/cp:20060633
- ISBN: 0 86341 663 2
- Location: Athens, Greece
- Conference date: 5-6 July 2006
- Format: PDF
Ubiquitous computing applications propose new and creative solutions to every day needs. This paper addresses the issue of recognition of every day activities inside pervasive domestic environments in order to identify patterns of behaviour that can be later used to support care systems by detecting changes to those patterns. Our system uses a temporal neural-network-driven embedded agent able to work with online, real-time data from unobtrusive low-level sensors and actuators. We present experimental results that show that our agent is able to detect temporal patterns along with spatial similarity associations found in human behaviours and activities, in everyday living environments. (7 pages)
Inspec keywords: health care; ubiquitous computing; multi-agent systems; embedded systems; home automation; neural nets
Subjects: Home computing; Distributed systems software; Neural computing techniques; Control engineering computing; Biology and medical computing; Automated buildings; Expert systems and other AI software and techniques
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