{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,16]],"date-time":"2026-06-16T13:57:11Z","timestamp":1781618231810,"version":"3.54.5"},"reference-count":38,"publisher":"SAGE Publications","issue":"5","license":[{"start":{"date-parts":[[2019,1,19]],"date-time":"2019-01-19T00:00:00Z","timestamp":1547856000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"published-print":{"date-parts":[[2019,5,14]]},"abstract":"<jats:p>\u00a0Accurate activity recognition plays a major role in smart homes to provide assistance and support for users, especially elderly and cognitively impaired people. To realize this task, knowledge-driven approaches are one of the emerging research areas that have shown interesting advantages and features. However, several limitations have been associated with these approaches. The produced models are usually incomplete to capture all types of human activities. This resulted in the limited ability to accurately infer users\u2019 activities. This paper presents an alternative approach by combining knowledge-driven with data-driven reasoning to allow activity models to evolve and adapt automatically based on users\u2019 particularities. Firstly, a knowledge-driven reasoning is presented for inferring an initial activity model. The model is then trained using data-driven techniques to produce a dynamic activity model that learns users\u2019 varying action. This approach has been evaluated using a publicly available dataset and the experimental results show the learned activity model yields significantly higher recognition rates compared to the initial activity model.<\/jats:p>","DOI":"10.3233\/jifs-169976","type":"journal-article","created":{"date-parts":[[2019,1,22]],"date-time":"2019-01-22T17:08:06Z","timestamp":1548176886000},"page":"4177-4188","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":32,"title":["A hybrid approach of knowledge-driven and data-driven reasoning for activity recognition in smart homes"],"prefix":"10.1177","volume":"36","author":[{"given":"Abdul Syafiq Abdull","family":"Sukor","sequence":"first","affiliation":[{"name":"School of Mechatronics Engineering, University Malaysia Perlis, Arau, Perlis, Malaysia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ammar","family":"Zakaria","sequence":"additional","affiliation":[{"name":"School of Mechatronics Engineering, University Malaysia Perlis, Arau, Perlis, Malaysia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Norasmadi Abdul","family":"Rahim","sequence":"additional","affiliation":[{"name":"School of Mechatronics Engineering, University Malaysia Perlis, Arau, Perlis, Malaysia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Latifah Munirah","family":"Kamarudin","sequence":"additional","affiliation":[{"name":"School of Mechatronics Engineering, University Malaysia Perlis, Arau, Perlis, Malaysia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rossi","family":"Setchi","sequence":"additional","affiliation":[{"name":"School of Engineering, Cardiff University, Cardiff, CF24 3AA, United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hiromitsu","family":"Nishizaki","sequence":"additional","affiliation":[{"name":"Graduate School of Integrated Research, University of Yamanashi, Kofu, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2019,1,19]]},"reference":[{"key":"e_1_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-017-0976-2"},{"issue":"212","key":"e_1_3_1_3_2","article-title":"\u201cA novel approach based on time cluster for activity recognition of daily living in smart homes,\u201d","volume":"9","author":"Liu Y.","year":"2017","unstructured":"LiuY., OuyangD., LiuY., ChenR., \u201cA novel approach based on time cluster for activity recognition of daily living in smart homes,\u201dJ. 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