Record Details

ACTIVITY ANALYSIS WITH HIDDEN MARKOV MODEL FOR AMBIENT ASSISTED LIVING

International Journal of Electronic Commerce Studies

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Field Value
 
Title ACTIVITY ANALYSIS WITH HIDDEN MARKOV MODEL FOR AMBIENT ASSISTED LIVING
 
Creator Yin, GuoQing; Vienna University of Technology
Bruckner, Dietmar; Vienna University of Technology
 
Subject Activity Analysis; Ambient Assisted Living; Hidden Markov Model; Forward Algorithm
 
Description In an Ambient Assisted Living (AAL) project the activities of the user will be analyzed. The raw data is from a motion detector. Through data processing the huge amount of dynamic raw data was translated to state data. With hidden Markov model, forward algorithm to analyze these state data the daily activity model of the user was built. Thirdly by comparing the model with observed activity sequences, and finding out the similarities between them, defined the best adapt routine in the model. Furthermore an activity routine net was built and used to compare with the hidden Markov model.
 
Publisher Academy of Taiwan Information Systems Research
 
Date 2012-08-24
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
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Format application/pdf
 
Identifier http://academic-pub.org/ojs/index.php/ijecs/article/view/1012
 
Source International Journal of Electronic Commerce Studies; Vol 3, No 1 (2012); 35-44
2073-9729
 
Language eng
 
Relation http://academic-pub.org/ojs/index.php/ijecs/article/view/1012/124
 
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