Multi label classification on multi resident in smart home using classifier chains
Rapid development in smart home environment are driven by the development of computing and sensing technology, has been changing the landscape of home resident’s daily life. Among others, activity recognition has become an interesting area of exploration in the domain of smart home. Activity recogni...
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Format: | Article |
Language: | English |
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American Scientific Publishers
2018
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Online Access: | http://psasir.upm.edu.my/id/eprint/64647/1/Multi%20label%20classification%20on%20multi%20resident%20in%20smart%20home%20using%20classifier%20chains.pdf |
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author | Mohamed, Raihani Perumal, Thinagaran Sulaiman, Md. Nasir Mustapha, Norwati Zainudin, Muhammad Noorazlan Shah |
author_facet | Mohamed, Raihani Perumal, Thinagaran Sulaiman, Md. Nasir Mustapha, Norwati Zainudin, Muhammad Noorazlan Shah |
author_sort | Mohamed, Raihani |
collection | UPM |
description | Rapid development in smart home environment are driven by the development of computing and sensing technology, has been changing the landscape of home resident’s daily life. Among others, activity recognition has become an interesting area of exploration in the domain of smart home. Activity recognition describes the paradigm of obtaining raw sensor data as inputs and predicting a home resident’s activity accordingly consist from environmental-based sensors that are embedded into the environment. The recognized patterns are based on Activity of Daily Living (ADL). In this paper, we design a multi label classification framework to cater multi resident in smart home environment using Classifier Chains approach. Human activities, everyday are gradually becoming complex especially relating with multi resident requirement and thus complicate the inferences of activities in smart home. Hence, this paper will highlight the methodology of sensing technology involved as well as important research works done in activity recognition area specifically on multi resident complex activity recognition involving interaction activity of multi resident within the same environment. Furthermore, this paper also discussed potential directions for future research in the activity recognition. |
first_indexed | 2024-03-06T09:47:24Z |
format | Article |
id | upm.eprints-64647 |
institution | Universiti Putra Malaysia |
language | English |
last_indexed | 2024-03-06T09:47:24Z |
publishDate | 2018 |
publisher | American Scientific Publishers |
record_format | dspace |
spelling | upm.eprints-646472018-08-13T03:16:21Z http://psasir.upm.edu.my/id/eprint/64647/ Multi label classification on multi resident in smart home using classifier chains Mohamed, Raihani Perumal, Thinagaran Sulaiman, Md. Nasir Mustapha, Norwati Zainudin, Muhammad Noorazlan Shah Rapid development in smart home environment are driven by the development of computing and sensing technology, has been changing the landscape of home resident’s daily life. Among others, activity recognition has become an interesting area of exploration in the domain of smart home. Activity recognition describes the paradigm of obtaining raw sensor data as inputs and predicting a home resident’s activity accordingly consist from environmental-based sensors that are embedded into the environment. The recognized patterns are based on Activity of Daily Living (ADL). In this paper, we design a multi label classification framework to cater multi resident in smart home environment using Classifier Chains approach. Human activities, everyday are gradually becoming complex especially relating with multi resident requirement and thus complicate the inferences of activities in smart home. Hence, this paper will highlight the methodology of sensing technology involved as well as important research works done in activity recognition area specifically on multi resident complex activity recognition involving interaction activity of multi resident within the same environment. Furthermore, this paper also discussed potential directions for future research in the activity recognition. American Scientific Publishers 2018 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/64647/1/Multi%20label%20classification%20on%20multi%20resident%20in%20smart%20home%20using%20classifier%20chains.pdf Mohamed, Raihani and Perumal, Thinagaran and Sulaiman, Md. Nasir and Mustapha, Norwati and Zainudin, Muhammad Noorazlan Shah (2018) Multi label classification on multi resident in smart home using classifier chains. Advanced Science Letters, 24 (2). pp. 1316-1319. ISSN 1936-6612; ESSN: 1936-7317 https://www.ingentaconnect.com/contentone/asp/asl/2018/00000024/00000002/art00114 10.1166/asl.2018.10740 |
spellingShingle | Mohamed, Raihani Perumal, Thinagaran Sulaiman, Md. Nasir Mustapha, Norwati Zainudin, Muhammad Noorazlan Shah Multi label classification on multi resident in smart home using classifier chains |
title | Multi label classification on multi resident in smart home using classifier chains |
title_full | Multi label classification on multi resident in smart home using classifier chains |
title_fullStr | Multi label classification on multi resident in smart home using classifier chains |
title_full_unstemmed | Multi label classification on multi resident in smart home using classifier chains |
title_short | Multi label classification on multi resident in smart home using classifier chains |
title_sort | multi label classification on multi resident in smart home using classifier chains |
url | http://psasir.upm.edu.my/id/eprint/64647/1/Multi%20label%20classification%20on%20multi%20resident%20in%20smart%20home%20using%20classifier%20chains.pdf |
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