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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Main Authors: Mohamed, Raihani, Perumal, Thinagaran, Sulaiman, Md. Nasir, Mustapha, Norwati, Zainudin, Muhammad Noorazlan Shah
Format: Article
Language:English
Published: American Scientific Publishers 2018
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.
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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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