Sensor-Based Abnormal Human-Activity Detection

With the availability of affordable sensors and sensor networks, sensor-based human activity recognition has attracted much attention in artificial intelligence and ubiquitous computing. In this paper, we present a novel two-phase approach for detecting abnormal activities based on wireless sensors...

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Veröffentlicht in:	IEEE transactions on knowledge and data engineering Jg. 20; H. 8; S. 1082 - 1090
Hauptverfasser:	Jie Yin, Qiang Yang, Pan, J.J.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.08.2008 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Activity Recognition Artificial intelligence Communication system security Data Mining Data security Human motion body Humans Intelligent sensors Mathematical models Monitoring Networks Outlier Detection Regression Sensor Networks Sensors Studies Support vector machines Training Training data Ubiquitous computing Wireless sensor networks Activity Recognition Data Mining Outlier Detection Sensor Networks
ISSN:	1041-4347, 1558-2191
Online-Zugang:	Volltext
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