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Human activity recognition based on evolving fuzzy systems.

Iglesias, J. A. and Angelov, Plamen and Ledezma, A. and Sanchis, A. (2010) Human activity recognition based on evolving fuzzy systems. International Journal of Neural Systems, 20 (5). pp. 355-364. ISSN 0129-0657

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Abstract

Environments equipped with intelligent sensors can be of much help if they can recognize the actions or activities of their users. If this activity recognition is done automatically, it can be very useful for different tasks such as future action prediction, remote health monitoring, or interventions. Although there are several approaches for recognizing activities, most of them do not consider the changes in how a human performs a specific activity. We present an automated approach to recognize daily activities from the sensor readings of an intelligent home environment. However, as the way to perform an activity is usually not fixed but it changes and evolves, we propose an activity recognition method based on Evolving Fuzzy Systems.

Item Type: Article
Journal or Publication Title: International Journal of Neural Systems
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: Faculty of Science and Technology > School of Computing & Communications
ID Code: 34235
Deposited By: Dr. Plamen Angelov
Deposited On: 20 Sep 2010 12:06
Refereed?: Yes
Published?: Published
Last Modified: 04 Jun 2014 00:03
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/34235

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