Classification and detection of intelligent house resident activities using multiagent

The intelligent home research requires understanding of the human behavior and recognizing patterns of activities of daily living (ADL).However instead of understand the psychosomatic nature of human early projects in this area simply employed intelligence to the household appliance.This paper pro...

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Main Authors: ,, Mohd. Marufuzzaman, M. B. I., Raez, M. A. M., Ali, Rahman, Labonnah F.
格式: Conference or Workshop Item
語言:English
出版: 2013
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在線閱讀:http://repo.uum.edu.my/12008/1/PID60.pdf
http://repo.uum.edu.my/12008/
http://www.icoci.cms.net.my/proceedings/2013/TOC.html
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spelling my.uum.repo.120082016-04-28T02:24:39Z http://repo.uum.edu.my/12008/ Classification and detection of intelligent house resident activities using multiagent ,, Mohd. Marufuzzaman M. B. I., Raez M. A. M., Ali Rahman, Labonnah F. QA76 Computer software The intelligent home research requires understanding of the human behavior and recognizing patterns of activities of daily living (ADL).However instead of understand the psychosomatic nature of human early projects in this area simply employed intelligence to the household appliance.This paper proposed an algorithm for detecting ADL.The proposed method is based on two opposite state entity extraction.The method reflects on the common data flow of smart home event sequence.The developed algorithm clusters the smart home events by isolating opposite status of home appliance. Result shows that, the algorithm can successfully identify 135 unique tasks of different lengths.This algorithm is surely being an alternate way of pattern recognition in intelligent home. 2013-08-28 Conference or Workshop Item PeerReviewed application/pdf en http://repo.uum.edu.my/12008/1/PID60.pdf ,, Mohd. Marufuzzaman and M. B. I., Raez and M. A. M., Ali and Rahman, Labonnah F. (2013) Classification and detection of intelligent house resident activities using multiagent. In: 4th International Conference on Computing and Informatics (ICOCI 2013), 28 -30 August 2013, Kuching, Sarawak, Malaysia. http://www.icoci.cms.net.my/proceedings/2013/TOC.html
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
,, Mohd. Marufuzzaman
M. B. I., Raez
M. A. M., Ali
Rahman, Labonnah F.
Classification and detection of intelligent house resident activities using multiagent
description The intelligent home research requires understanding of the human behavior and recognizing patterns of activities of daily living (ADL).However instead of understand the psychosomatic nature of human early projects in this area simply employed intelligence to the household appliance.This paper proposed an algorithm for detecting ADL.The proposed method is based on two opposite state entity extraction.The method reflects on the common data flow of smart home event sequence.The developed algorithm clusters the smart home events by isolating opposite status of home appliance. Result shows that, the algorithm can successfully identify 135 unique tasks of different lengths.This algorithm is surely being an alternate way of pattern recognition in intelligent home.
format Conference or Workshop Item
author ,, Mohd. Marufuzzaman
M. B. I., Raez
M. A. M., Ali
Rahman, Labonnah F.
author_facet ,, Mohd. Marufuzzaman
M. B. I., Raez
M. A. M., Ali
Rahman, Labonnah F.
author_sort ,, Mohd. Marufuzzaman
title Classification and detection of intelligent house resident activities using multiagent
title_short Classification and detection of intelligent house resident activities using multiagent
title_full Classification and detection of intelligent house resident activities using multiagent
title_fullStr Classification and detection of intelligent house resident activities using multiagent
title_full_unstemmed Classification and detection of intelligent house resident activities using multiagent
title_sort classification and detection of intelligent house resident activities using multiagent
publishDate 2013
url http://repo.uum.edu.my/12008/1/PID60.pdf
http://repo.uum.edu.my/12008/
http://www.icoci.cms.net.my/proceedings/2013/TOC.html
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