{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,14]],"date-time":"2026-06-14T23:42:39Z","timestamp":1781480559589,"version":"3.54.1"},"reference-count":21,"publisher":"Wiley","license":[{"start":{"date-parts":[[2020,9,9]],"date-time":"2020-09-09T00:00:00Z","timestamp":1599609600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61672396"],"award-info":[{"award-number":["61672396"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computational Intelligence and Neuroscience"],"published-print":{"date-parts":[[2020,9,9]]},"abstract":"<jats:p>In this paper, a fusion method based on multiple features and hidden Markov model (HMM) is proposed for recognizing dynamic hand gestures corresponding to an operator\u2019s instructions in robot teleoperation. In the first place, a valid dynamic hand gesture from continuously obtained data according to the velocity of the moving hand needs to be separated. Secondly, a feature set is introduced for dynamic hand gesture expression, which includes four sorts of features: palm posture, bending angle, the opening angle of the fingers, and gesture trajectory. Finally, HMM classifiers based on these features are built, and a weighted calculation model fusing the probabilities of four sorts of features is presented. The proposed method is evaluated by recognizing dynamic hand gestures acquired by leap motion (LM), and it reaches recognition rates of about 90.63% for LM-Gesture3D dataset created by the paper and 93.3% for Letter-gesture dataset, respectively.<\/jats:p>","DOI":"10.1155\/2020\/8871605","type":"journal-article","created":{"date-parts":[[2020,9,9]],"date-time":"2020-09-09T23:32:38Z","timestamp":1599694358000},"page":"1-14","source":"Crossref","is-referenced-by-count":5,"title":["A Fusion Recognition Method Based on Multifeature Hidden Markov Model for Dynamic Hand Gesture"],"prefix":"10.1155","volume":"2020","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8031-6790","authenticated-orcid":true,"given":"Guoliang","family":"Chen","sequence":"first","affiliation":[{"name":"School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan 430070, Hubei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kaikai","family":"Ge","sequence":"additional","affiliation":[{"name":"School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan 430070, Hubei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-012-9356-9"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2016.05.019"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2012.02.081"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1109\/tcsvt.2015.2469551"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2015.08.004"},{"issue":"12","key":"6","first-page":"419","volume":"5","year":"2014","journal-title":"International Journal of Scientific & Engineering Research"},{"key":"7","first-page":"1","volume":"3","year":"2012","journal-title":"International Journal of human Computer Interaction"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2012.09.014"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1109\/tbme.2015.2480881"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1109\/tmm.2014.2377553"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1111\/coin.12188"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.1016\/j.compind.2018.03.035"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-016-2294-8"},{"key":"15","doi-asserted-by":"publisher","DOI":"10.1109\/tce.2017.014971"},{"key":"16","doi-asserted-by":"publisher","DOI":"10.3390\/s130506380"},{"key":"20","first-page":"1","volume":"4","year":"2018","journal-title":"Multimed. 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