Modelling an adjustable autonomous multi-agent internet of things system for elderly smart home
Air conditioning; Automation; Autonomous agents; Ergonomics; Multi agent systems; Adjustable autonomy; Application interfaces; Elderly users; Healthcare environments; Human agent interactions; Intelligent applications; Internet of Things (IOT); Smart homes; Internet of things
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Springer Verlag
2023
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my.uniten.dspace-258412023-05-29T16:15:06Z Modelling an adjustable autonomous multi-agent internet of things system for elderly smart home Mostafa S.A. Gunasekaran S.S. Mustapha A. Mohammed M.A. Abduallah W.M. 37036085800 55652730500 57200530694 57192089894 55584815900 Air conditioning; Automation; Autonomous agents; Ergonomics; Multi agent systems; Adjustable autonomy; Application interfaces; Elderly users; Healthcare environments; Human agent interactions; Intelligent applications; Internet of Things (IOT); Smart homes; Internet of things Internet of Things (IoT) introduces many intelligent applications that are closely attached to humans� daily activities. This advanced technology attempts to bridge the gap between the information world and the physical world. Recent studies investigate efficient, flexible, scalable and reliable IoT systems that not only control things and devices on behalf of humans but adaptable to humans� preferences. However, the autonomous control of the IoT in a smart home or healthcare environment subjects to many factors such as human health, time and date. For example, peoples� needs and behaviours during workdays differ from weekends or a young person needs and behaviours differs from an elderly person. Hence, the practical setting of a smart home entails flexible management to the autonomous control of IoT systems. This paper proposes an architecture of Adjustable-Autonomous Multi-agent IoT (AAMA-IoT) system to resolve a number of the IoT management of control and application interface challenges. The AAMA-IoT is applied in an elderly smart home simulation in which autonomous agents control passive things such as a chair or door and active things such as a television or an air conditioner. The test results show that the AAMA-IoT system controls 14 things with average activities recognition accuracy of 96.97%. � Springer Nature Switzerland AG 2020. Final 2023-05-29T08:15:06Z 2023-05-29T08:15:06Z 2020 Conference Paper 10.1007/978-3-030-20473-0_29 2-s2.0-85067663796 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067663796&doi=10.1007%2f978-3-030-20473-0_29&partnerID=40&md5=5431243af16d7ac41cb3057772f854c7 https://irepository.uniten.edu.my/handle/123456789/25841 953 301 311 Springer Verlag Scopus |
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| description |
Air conditioning; Automation; Autonomous agents; Ergonomics; Multi agent systems; Adjustable autonomy; Application interfaces; Elderly users; Healthcare environments; Human agent interactions; Intelligent applications; Internet of Things (IOT); Smart homes; Internet of things |
| author2 |
37036085800 |
| author_facet |
37036085800 Mostafa S.A. Gunasekaran S.S. Mustapha A. Mohammed M.A. Abduallah W.M. |
| format |
Conference Paper |
| author |
Mostafa S.A. Gunasekaran S.S. Mustapha A. Mohammed M.A. Abduallah W.M. |
| spellingShingle |
Mostafa S.A. Gunasekaran S.S. Mustapha A. Mohammed M.A. Abduallah W.M. Modelling an adjustable autonomous multi-agent internet of things system for elderly smart home |
| author_sort |
Mostafa S.A. |
| title |
Modelling an adjustable autonomous multi-agent internet of things system for elderly smart home |
| title_short |
Modelling an adjustable autonomous multi-agent internet of things system for elderly smart home |
| title_full |
Modelling an adjustable autonomous multi-agent internet of things system for elderly smart home |
| title_fullStr |
Modelling an adjustable autonomous multi-agent internet of things system for elderly smart home |
| title_full_unstemmed |
Modelling an adjustable autonomous multi-agent internet of things system for elderly smart home |
| title_sort |
modelling an adjustable autonomous multi-agent internet of things system for elderly smart home |
| publisher |
Springer Verlag |
| publishDate |
2023 |
| _version_ |
1806428502458630144 |
| score |
13.222552 |