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 0129-0657Full text not available from this repository.
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.
|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|
|Deposited By:||Dr. Plamen Angelov|
|Deposited On:||20 Sep 2010 12:06|
|Last Modified:||29 Apr 2017 01:49|
Actions (login required)