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 ; This work has been partially supported by the Spanish Government under project TRA2007-67374-C02-02
Human activity recognition based on evolving fuzzy systems
2010-01-01
20
Article (Journal)
Electronic Resource
English
DDC: | 629 |
Evolving Fuzzy Rule-based Classifiers
IEEE | 2007
|Evolving Systems: Inheriting Stability with Evolving Controllers
British Library Conference Proceedings | 2007
|Real-Time Travel Time Prediction Based on Evolving Fuzzy Participatory Learning Model
DOAJ | 2022
|Evolving automotive access systems
British Library Conference Proceedings | 2001
|