{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T19:11:18Z","timestamp":1778094678775,"version":"3.51.4"},"reference-count":40,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2023,2,26]],"date-time":"2023-02-26T00:00:00Z","timestamp":1677369600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Guangdong Basic and Applied Basic Research Foundation","award":["2019A1515111176"],"award-info":[{"award-number":["2019A1515111176"]}]},{"name":"Guangdong Basic and Applied Basic Research Foundation","award":["2019B090904007"],"award-info":[{"award-number":["2019B090904007"]}]},{"name":"Guangdong Basic and Applied Basic Research Foundation","award":["2023JGZ25"],"award-info":[{"award-number":["2023JGZ25"]}]},{"name":"Guangdong Science and Technology Innovation Strategy Special Foundation","award":["2019A1515111176"],"award-info":[{"award-number":["2019A1515111176"]}]},{"name":"Guangdong Science and Technology Innovation Strategy Special Foundation","award":["2019B090904007"],"award-info":[{"award-number":["2019B090904007"]}]},{"name":"Guangdong Science and Technology Innovation Strategy Special Foundation","award":["2023JGZ25"],"award-info":[{"award-number":["2023JGZ25"]}]},{"name":"Education and Teaching Reform Research Project of Northwestern Polytechnical University","award":["2019A1515111176"],"award-info":[{"award-number":["2019A1515111176"]}]},{"name":"Education and Teaching Reform Research Project of Northwestern Polytechnical University","award":["2019B090904007"],"award-info":[{"award-number":["2019B090904007"]}]},{"name":"Education and Teaching Reform Research Project of Northwestern Polytechnical University","award":["2023JGZ25"],"award-info":[{"award-number":["2023JGZ25"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Micromachines"],"abstract":"<jats:p>Wearable exoskeletons play an important role in people\u2019s lives, such as helping stroke and amputation patients to carry out rehabilitation training and so on. How to make the exoskeleton accurately judge the human action intention is the basic requirement to ensure that it can complete the corresponding task. Traditional exoskeleton control signals include pressure values, joint angles and acceleration values, which can only reflect the current motion information of the human lower limbs and cannot be used to predict motion. The electromyography (EMG) signal always occurs before a certain movement; it can be used to predict the target\u2019s gait speed and movement as the input signal. In this study, the generalization ability of a BP neural network and the timing property of a hidden Markov chain are used to properly fuse the two, and are finally used in the research of this paper. Experiments show that, using the same training samples, the recognition accuracy of the three-layer BP neural network is only 91%, while the recognition accuracy of the fusion discriminant model proposed in this paper can reach 95.1%. The results show that the fusion of BP neural network and hidden Markov chain has a strong solving ability for the task of wearable exoskeleton recognition of target step speed.<\/jats:p>","DOI":"10.3390\/mi14030546","type":"journal-article","created":{"date-parts":[[2023,2,27]],"date-time":"2023-02-27T03:52:21Z","timestamp":1677469941000},"page":"546","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Research on Lower Limb Step Speed Recognition Method Based on Electromyography"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-5644-6191","authenticated-orcid":false,"given":"Peng","family":"Zhang","sequence":"first","affiliation":[{"name":"Engineering Training Centre, Northwestern Polytechnical University, Xi\u2019an 710000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pengcheng","family":"Wu","sequence":"additional","affiliation":[{"name":"College of Automation, Northwestern Polytechnical University, Xi\u2019an 710000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wendong","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Mechanical and Electrical Engineering, Northwestern Polytechnical University, Xi\u2019an 710000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,2,26]]},"reference":[{"key":"ref_1","first-page":"1765","article-title":"Recent advances in rehabilitation robots and intelligent assistance systems","volume":"42","author":"Hou","year":"2016","journal-title":"Acta Autom. 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