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However, simultaneous motion classification and continuous joint angle prediction remain challenging, particularly with limited patient data. This study introduces DBWCT\u2010EMGNet, a novel deep learning framework with a dual\u2010branch architecture augmented with transfer learning. The main structure integrates a Improve WaveNet fusion layer for multi\u2010scale feature extraction, convolutional block attention module (CBAM) attention for enhanced feature focus. The classification branch integrates a Transformer encoder for robust motion recognition. The regression branch employs a Temporal Convolutional Attention network for precise joint angle prediction. Transfer learning adapts models trained on healthy subjects to patient data to mitigate data scarcity issues. Compared to models such as CNN\u2010BiLSTM and CNN\u2010TCN, DBWCT\u2010EMGNet achieved superior intra\u2010subject performance (classification accuracy: 99.86%\u2009\u00b1\u20090.11%; joint angle : 0.98\u2009\u00b1\u20090.04, RMSE: 1.40\u00b0\u2009\u00b1\u20091.64\u00b0). Transfer learning improved inter\u2010subject results by 21.7% in accuracy, 24.7% in , and 67.6% in RMSE. By enabling accurate motion analysis and generalization across subjects, DBWCT\u2010EMGNet shows strong potential for developing advanced sensor\u2010based assistive and rehabilitative technologies.<\/jats:p>","DOI":"10.1002\/cpe.70263","type":"journal-article","created":{"date-parts":[[2025,9,4]],"date-time":"2025-09-04T00:49:58Z","timestamp":1756946998000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["<scp>EMG<\/scp>\u2010Based Dual\u2010Branch Deep Learning Framework With Transfer Learning for Lower Limb Motion Classification and Joint Angle Estimation"],"prefix":"10.1002","volume":"37","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-8852-4673","authenticated-orcid":false,"given":"Yang","family":"Yang","sequence":"first","affiliation":[{"name":"College of Intelligent Manufacturing Modern Industry Xinjiang University  Urumqi China"}]},{"given":"Qing","family":"Tao","sequence":"additional","affiliation":[{"name":"College of Intelligent Manufacturing Modern Industry Xinjiang University  Urumqi China"}]},{"given":"Shiji","family":"Li","sequence":"additional","affiliation":[{"name":"College of Intelligent Manufacturing Modern Industry Xinjiang University  Urumqi China"}]},{"given":"Shijie","family":"Fan","sequence":"additional","affiliation":[{"name":"College of Intelligent Manufacturing Modern Industry Xinjiang University  Urumqi China"}]}],"member":"311","published-online":{"date-parts":[[2025,9,3]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.3390\/s16101579"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1080\/00140139.2015.1081988"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2023.3304639"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2023.107761"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-021-06292-0"},{"key":"e_1_2_8_7_1","doi-asserted-by":"publisher","DOI":"10.1155\/2022\/3321810"},{"key":"e_1_2_8_8_1","doi-asserted-by":"publisher","DOI":"10.1251\/bpo115"},{"key":"e_1_2_8_9_1","doi-asserted-by":"publisher","DOI":"10.3390\/s21062220"},{"key":"e_1_2_8_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2021.3082067"},{"key":"e_1_2_8_11_1","doi-asserted-by":"publisher","DOI":"10.3390\/s25030719"},{"key":"e_1_2_8_12_1","doi-asserted-by":"publisher","DOI":"10.3390\/s20174858"},{"key":"e_1_2_8_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2022.104216"},{"key":"e_1_2_8_14_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-022-10358-x"},{"key":"e_1_2_8_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2013.01.020"},{"key":"e_1_2_8_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2020.3036654"},{"key":"e_1_2_8_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jneumeth.2024.110250"},{"key":"e_1_2_8_18_1","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2024.1306054"},{"key":"e_1_2_8_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3451209"},{"key":"e_1_2_8_20_1","unstructured":"O.Sanchez J.Sotelo M.Gonzales andG.Hernandez \u201cEmg Dataset in Lower Limb Data Set UCI Machine Learning Repository 2\u201d(2014)."},{"key":"e_1_2_8_21_1","doi-asserted-by":"publisher","DOI":"10.3390\/s130912431"},{"key":"e_1_2_8_22_1","doi-asserted-by":"crossref","unstructured":"U.Desai R. 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