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...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2019
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| Online Access: | http://psasir.upm.edu.my/id/eprint/78085/ http://psasir.upm.edu.my/id/eprint/78085/1/Multi-resident%20activity%20recognition%20using%20multi-label%20classification%20in%20ambient%20sensing%20smart%20homes.pdf |
| _version_ | 1848858409139437568 |
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| author | Jethanandani, Manan Perumal, Thinagaran Chang, Jieh Ren Sharma, Abhishek Bao, Yipeng |
| author_facet | Jethanandani, Manan Perumal, Thinagaran Chang, Jieh Ren Sharma, Abhishek Bao, Yipeng |
| author_sort | Jethanandani, Manan |
| building | UPM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T12:12:59Z |
| format | Conference or Workshop Item |
| id | upm-78085 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T12:12:59Z |
| publishDate | 2019 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-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 |
| 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 |
| title | 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_short | 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 |
| url | http://psasir.upm.edu.my/id/eprint/78085/ http://psasir.upm.edu.my/id/eprint/78085/ http://psasir.upm.edu.my/id/eprint/78085/1/Multi-resident%20activity%20recognition%20using%20multi-label%20classification%20in%20ambient%20sensing%20smart%20homes.pdf |