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Multi-resident activity recognition using multi-label classification in ambient sensing smart homes

Activity recognition in smart home environment using wireless ambient sensing is a well-known problem that is being researched very actively. Rapid development in the sensing technologies has made human activity recognition very important for various fields such as health care, home monitoring, surv...

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Main Authors: Jethanandani, Manan, Perumal, Thinagaran, Chang, Jieh Ren, Sharma, Abhishek, Bao, Yipeng
Format: Conference or Workshop Item
Language:English
Published: IEEE 2019
Online Access:http://psasir.upm.edu.my/id/eprint/78085/1/Multi-resident%20activity%20recognition%20using%20multi-label%20classification%20in%20ambient%20sensing%20smart%20homes.pdf
http://psasir.upm.edu.my/id/eprint/78085/
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spelling my.upm.eprints.780852020-06-03T06:30:35Z http://psasir.upm.edu.my/id/eprint/78085/ Multi-resident activity recognition using multi-label classification in ambient sensing smart homes Jethanandani, Manan Perumal, Thinagaran Chang, Jieh Ren Sharma, Abhishek Bao, Yipeng Activity recognition in smart home environment using wireless ambient sensing is a well-known problem that is being researched very actively. Rapid development in the sensing technologies has made human activity recognition very important for various fields such as health care, home monitoring, surveillance, etc. In this paper, we describe the use of Classifier Chain method of the Multi-Label Classification approach to tackle the task of multi-resident activity recognition. We evaluate the developed model of Classifier Chain with K-Nearest Neighbor as base classifier on real world ARAS dataset which consists of two smart homes with evaluation metrics such as accuracy, precision and hamming loss. Through results, it can be inferred that Classifier Chain method successfully caters the problem of multi-resident activity recognition taking into consideration underlying label dependencies. IEEE 2019 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/78085/1/Multi-resident%20activity%20recognition%20using%20multi-label%20classification%20in%20ambient%20sensing%20smart%20homes.pdf Jethanandani, Manan and Perumal, Thinagaran and Chang, Jieh Ren and Sharma, Abhishek and Bao, Yipeng (2019) Multi-resident activity recognition using multi-label classification in ambient sensing smart homes. In: 6th IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW), 20-22 May 2019, Yilan, Taiwan. . 10.1109/ICCE-TW46550.2019.8991916
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Activity recognition in smart home environment using wireless ambient sensing is a well-known problem that is being researched very actively. Rapid development in the sensing technologies has made human activity recognition very important for various fields such as health care, home monitoring, surveillance, etc. In this paper, we describe the use of Classifier Chain method of the Multi-Label Classification approach to tackle the task of multi-resident activity recognition. We evaluate the developed model of Classifier Chain with K-Nearest Neighbor as base classifier on real world ARAS dataset which consists of two smart homes with evaluation metrics such as accuracy, precision and hamming loss. Through results, it can be inferred that Classifier Chain method successfully caters the problem of multi-resident activity recognition taking into consideration underlying label dependencies.
format Conference or Workshop Item
author Jethanandani, Manan
Perumal, Thinagaran
Chang, Jieh Ren
Sharma, Abhishek
Bao, Yipeng
spellingShingle Jethanandani, Manan
Perumal, Thinagaran
Chang, Jieh Ren
Sharma, Abhishek
Bao, Yipeng
Multi-resident activity recognition using multi-label classification in ambient sensing smart homes
author_facet Jethanandani, Manan
Perumal, Thinagaran
Chang, Jieh Ren
Sharma, Abhishek
Bao, Yipeng
author_sort Jethanandani, Manan
title Multi-resident activity recognition using multi-label classification in ambient sensing smart homes
title_short Multi-resident activity recognition using multi-label classification in ambient sensing smart homes
title_full Multi-resident activity recognition using multi-label classification in ambient sensing smart homes
title_fullStr Multi-resident activity recognition using multi-label classification in ambient sensing smart homes
title_full_unstemmed Multi-resident activity recognition using multi-label classification in ambient sensing smart homes
title_sort multi-resident activity recognition using multi-label classification in ambient sensing smart homes
publisher IEEE
publishDate 2019
url http://psasir.upm.edu.my/id/eprint/78085/1/Multi-resident%20activity%20recognition%20using%20multi-label%20classification%20in%20ambient%20sensing%20smart%20homes.pdf
http://psasir.upm.edu.my/id/eprint/78085/
_version_ 1669008854860431360
score 13.211869

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