Handling Real-World Context Awareness, Uncertainty and Vagueness in Real-Time Human Activity Tracking and Recognition with a Fuzzy Ontology-Based Hybrid Method

Handling Real-World Context Awareness, Uncertainty and Vagueness in Real-Time Human Activity Tracking and Recognition with a Fuzzy Ontology-Based Hybrid Method

Human activity recognition is a key task in ambient intelligence applications to achieve proper ambient assisted living. There has been remarkable progress in this domain, but some challenges still remain to obtain robust methods. Our goal in this work is to provide a system that allows the modeling...

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Bibliographic Details
Main Authors: Natalia Díaz-Rodríguez, Olmo León Cadahía, Manuel Pegalajar Cuéllar, Johan Lilius, Miguel Delgado Calvo-Flores
Format: Article
Language:English
Published: MDPI AG 2014-09-01
Series:Sensors
Subjects:
3D depth sensors
activity recognition
fuzzy ontology
context awareness
ambient intelligence
semantic web
uncertainty
vagueness
hybrid systems
Online Access:http://www.mdpi.com/1424-8220/14/10/18131

Internet

http://www.mdpi.com/1424-8220/14/10/18131

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