Publication: Human activity recognition based on evolving fuzzy systems
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2010
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World Scientific Publishing Company
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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
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Keywords
Activity recognition, Evolving fuzzy systems, Fuzzy-Rule-Based (FRB) classifiers
Bibliographic citation
International Journal of Neural Systems, (2010), 20(5), 355-364