DocumentCode :
1372686
Title :
Human Activity Recognition and Pattern Discovery
Author :
Kim, Eunju ; Helal, Sumi ; Cook, Diane
Author_Institution :
Comput. & Inf. Sci. & Eng. Dept., Univ. of Florida, Gainesville, FL, USA
Volume :
9
Issue :
1
fYear :
2010
Firstpage :
48
Lastpage :
53
Abstract :
In principle, activity recognition can be exploited to great societal benefits, especially in real-life, human centric applications such as elder care and healthcare. This article focused on recognizing simple human activities. Recognizing complex activities remains a challenging and active area of research and the nature of human activities poses different challenges. Human activity understanding encompasses activity recognition and activity pattern discovery. The first focuses on accurate detection of human activities based on a predefined activity model. An activity pattern discovery researcher builds a pervasive system first and then analyzes the sensor data to discover activity patterns.
Keywords :
hidden Markov models; pattern recognition; ubiquitous computing; activity pattern discovery; hidden Markov model; human activity detection; human activity recognition; pervasive system; sensor data; Data analysis; Humans; Medical services; Pattern analysis; Pattern recognition; Sensor systems; activity modeling; activity recognition; pattern discovery; pervasive computing;
fLanguage :
English
Journal_Title :
Pervasive Computing, IEEE
Publisher :
ieee
ISSN :
1536-1268
Type :
jour
DOI :
10.1109/MPRV.2010.7
Filename :
5370804
Link To Document :
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