RT Journal Article
T1 Human activity recognition based on evolving fuzzy systems
A1 Iglesias Martínez, José Antonio
A1 Angelov, Plamen
A1 Ledezma Espino, Agapito Ismael
A1 Sanchis de Miguel, María Araceli
AB Environments equipped with intelligent sensors can be of much help if they can recognize the actionsor activities of their users. If this activity recognition is done automatically, it can be very useful fordifferent tasks such as future action prediction, remote health monitoring, or interventions. Althoughthere are several approaches for recognizing activities, most of them do not consider the changes in howa human performs a specific activity. We present an automated approach to recognize daily activitiesfrom the sensor readings of an intelligent home environment. However, as the way to perform an activityis usually not fixed but it changes and evolves, we propose an activity recognition method based onEvolving Fuzzy Systems
PB World Scientific Publishing Company
SN 0129-0657
YR 2010
FD 2010
LK https://hdl.handle.net/10016/14099
UL https://hdl.handle.net/10016/14099
LA eng
NO This work has been partially supported by theSpanish Government under project TRA2007-67374-C02-02
DS e-Archivo
RD 14 sept. 2024