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EMG-ROCKET integrates random channel fusion and enhanced aggregation functions to enhance robustness against cross-day signal variability in HD-sEMG applications. In cross-day evaluations of hand gesture recognition, a Ridge classifier using EMG-ROCKET features achieved 84.3% and 77.8% accuracy on two HD-sEMG datasets, outperforming all baseline methods. Furthermore, feature contribution analysis demonstrates the capability of EMG-ROCKET to capture spatial muscle activation patterns, offering insights into motion mechanisms. These results establish EMG-ROCKET as a promising, training-free solution for robust HD-sEMG feature extraction, facilitating practical human\u2013machine interaction applications.<\/jats:p>","DOI":"10.1142\/s0129065725500625","type":"journal-article","created":{"date-parts":[[2025,8,9]],"date-time":"2025-08-09T02:55:48Z","timestamp":1754708148000},"source":"Crossref","is-referenced-by-count":0,"title":["An Enhanced Random Convolutional Kernel Transform for Diverse and Robust Feature Extraction from High-Density Surface Electromyograms for Cross-day Gesture Recognition"],"prefix":"10.1142","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6177-0517","authenticated-orcid":false,"given":"Yonglin","family":"Wu","sequence":"first","affiliation":[{"name":"School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, P.\u00a0R.\u00a0China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8518-1415","authenticated-orcid":false,"given":"Xinyu","family":"Jiang","sequence":"additional","affiliation":[{"name":"School of Informatics, The University of Edinburgh, Edinburgh EH8 9 YL, UK"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-0410-7073","authenticated-orcid":false,"given":"Jionghui","family":"Liu","sequence":"additional","affiliation":[{"name":"The Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai 200433, P.\u00a0R.\u00a0China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9300-5817","authenticated-orcid":false,"given":"Yao","family":"Guo","sequence":"additional","affiliation":[{"name":"School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, P.\u00a0R.\u00a0China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3056-4339","authenticated-orcid":false,"given":"Chenyun","family":"Dai","sequence":"additional","affiliation":[{"name":"School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, P.\u00a0R.\u00a0China"}]}],"member":"219","published-online":{"date-parts":[[2025,10,9]]},"reference":[{"key":"S0129065725500625BIB001","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.3041618"},{"key":"S0129065725500625BIB002","doi-asserted-by":"publisher","DOI":"10.1142\/S0129065718500259"},{"key":"S0129065725500625BIB003","doi-asserted-by":"publisher","DOI":"10.1142\/S0129065717500095"},{"key":"S0129065725500625BIB004","doi-asserted-by":"publisher","DOI":"10.2147\/MDER.S91102"},{"key":"S0129065725500625BIB005","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2007.07.009"},{"key":"S0129065725500625BIB006","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2023.3262316"},{"key":"S0129065725500625BIB007","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2022.104216"},{"key":"S0129065725500625BIB008","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2017.2738568"},{"key":"S0129065725500625BIB009","doi-asserted-by":"publisher","DOI":"10.1109\/TCDS.2023.3316701"},{"key":"S0129065725500625BIB010","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2022.3210258"},{"key":"S0129065725500625BIB011","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2020.2980440"},{"key":"S0129065725500625BIB012","doi-asserted-by":"publisher","DOI":"10.3390\/electronics12071520"},{"key":"S0129065725500625BIB013","doi-asserted-by":"publisher","DOI":"10.3390\/app12157411"},{"key":"S0129065725500625BIB014","doi-asserted-by":"publisher","DOI":"10.1515\/revneuro-2013-0032"},{"key":"S0129065725500625BIB015","doi-asserted-by":"publisher","DOI":"10.1177\/1073858414549015"},{"key":"S0129065725500625BIB016","doi-asserted-by":"publisher","DOI":"10.1515\/revneuro-2017-0035"},{"key":"S0129065725500625BIB017","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2021.3082551"},{"key":"S0129065725500625BIB018","doi-asserted-by":"publisher","DOI":"10.3390\/s17030458"},{"key":"S0129065725500625BIB019","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-020-01639-x"},{"key":"S0129065725500625BIB020","first-page":"929","volume-title":"Proc. 33rd Annual ACM Conf. 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