{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T04:43:55Z","timestamp":1774586635012,"version":"3.50.1"},"reference-count":105,"publisher":"MDPI AG","issue":"15","license":[{"start":{"date-parts":[[2022,7,29]],"date-time":"2022-07-29T00:00:00Z","timestamp":1659052800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003093","name":"Fundamental Research Grant Scheme of the Ministry of Higher Education","doi-asserted-by":"publisher","award":["FRGS\/1\/2021\/ICT02\/MMU\/02\/4"],"award-info":[{"award-number":["FRGS\/1\/2021\/ICT02\/MMU\/02\/4"]}],"id":[{"id":"10.13039\/501100003093","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003093","name":"Fundamental Research Grant Scheme of the Ministry of Higher Education","doi-asserted-by":"publisher","award":["MMUI\/220021"],"award-info":[{"award-number":["MMUI\/220021"]}],"id":[{"id":"10.13039\/501100003093","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100012024","name":"Multimedia University Internal Research Grant","doi-asserted-by":"publisher","award":["FRGS\/1\/2021\/ICT02\/MMU\/02\/4"],"award-info":[{"award-number":["FRGS\/1\/2021\/ICT02\/MMU\/02\/4"]}],"id":[{"id":"10.13039\/100012024","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100012024","name":"Multimedia University Internal Research Grant","doi-asserted-by":"publisher","award":["MMUI\/220021"],"award-info":[{"award-number":["MMUI\/220021"]}],"id":[{"id":"10.13039\/100012024","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Identifying people\u2019s identity by using behavioral biometrics has attracted many researchers\u2019 attention in the biometrics industry. Gait is a behavioral trait, whereby an individual is identified based on their walking style. Over the years, gait recognition has been performed by using handcrafted approaches. However, due to several covariates\u2019 effects, the competence of the approach has been compromised. Deep learning is an emerging algorithm in the biometrics field, which has the capability to tackle the covariates and produce highly accurate results. In this paper, a comprehensive overview of the existing deep learning-based gait recognition approach is presented. In addition, a summary of the performance of the approach on different gait datasets is provided.<\/jats:p>","DOI":"10.3390\/s22155682","type":"journal-article","created":{"date-parts":[[2022,8,1]],"date-time":"2022-08-01T04:04:00Z","timestamp":1659326640000},"page":"5682","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Advances in Vision-Based Gait Recognition: From Handcrafted to Deep Learning"],"prefix":"10.3390","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7873-0033","authenticated-orcid":false,"given":"Jashila Nair","family":"Mogan","sequence":"first","affiliation":[{"name":"Faculty of Information Science and Technology, Multimedia University, Melaka 75450, Malaysia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3679-8977","authenticated-orcid":false,"given":"Chin Poo","family":"Lee","sequence":"additional","affiliation":[{"name":"Faculty of Information Science and Technology, Multimedia University, Melaka 75450, Malaysia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1929-7978","authenticated-orcid":false,"given":"Kian Ming","family":"Lim","sequence":"additional","affiliation":[{"name":"Faculty of Information Science and Technology, Multimedia University, Melaka 75450, Malaysia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,7,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Mannini, A., Trojaniello, D., Cereatti, A., and Sabatini, A.M. 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