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As the number of days in the training set increases, the recognition accuracy increases and becomes more stable, peaking when the training set includes 10 days and achieving an average recognition rate of 99.57% (\u00b1\u20090.37%). In addition, part of the training subset is extracted and recombined into a new dataset and the better classification performances of models can be achieved from the test set. The method proposed effectively mitigates the adverse effects of sensor donning and doffing on recognition results.<\/jats:p>","DOI":"10.1007\/s40747-024-01541-w","type":"journal-article","created":{"date-parts":[[2024,7,1]],"date-time":"2024-07-01T14:04:55Z","timestamp":1719842695000},"page":"6953-6964","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["An end-to-end hand action recognition framework based on cross-time mechanomyography signals"],"prefix":"10.1007","volume":"10","author":[{"given":"Yue","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Tengfei","family":"Li","sequence":"additional","affiliation":[]},{"given":"Xingguo","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Chunming","family":"Xia","sequence":"additional","affiliation":[]},{"given":"Jie","family":"Zhou","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0276-7347","authenticated-orcid":false,"given":"Maoxun","family":"Sun","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,6,29]]},"reference":[{"key":"1541_CR1","doi-asserted-by":"publisher","first-page":"1877","DOI":"10.1007\/s40747-020-00232-6","volume":"7","author":"J Jie","year":"2021","unstructured":"Jie J, Liu KR, Zheng H, Wang BB, Dai R (2021) High dimensional feature data reduction of multichannel sEMG for gesture recognition based on double phases PSO. 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