{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T05:11:45Z","timestamp":1778217105546,"version":"3.51.4"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Hong Kong Research Grants Council Theme-based Research Scheme","award":["T42-717\/20-R"],"award-info":[{"award-number":["T42-717\/20-R"]}]},{"name":"Research Matching"},{"DOI":"10.13039\/501100001839","name":"University Grants Committee","doi-asserted-by":"publisher","award":["2024\/3004"],"award-info":[{"award-number":["2024\/3004"]}],"id":[{"id":"10.13039\/501100001839","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Hong Kong Metropolitan University Research and Development Fund","award":["RD\/2024\/2.3RD\/2024\/2.3"],"award-info":[{"award-number":["RD\/2024\/2.3RD\/2024\/2.3"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Biomed. Health Inform."],"published-print":{"date-parts":[[2026,5]]},"DOI":"10.1109\/jbhi.2025.3622491","type":"journal-article","created":{"date-parts":[[2025,10,20]],"date-time":"2025-10-20T17:57:13Z","timestamp":1760983033000},"page":"4409-4422","source":"Crossref","is-referenced-by-count":1,"title":["A Novel Framework of Hierarchical EMG-FMG Fusion to Enhance Long-Term and Multi-Position Robustness for Real-Time Motion Intent Recognition"],"prefix":"10.1109","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-1265-2660","authenticated-orcid":false,"given":"Hongli","family":"Huang","sequence":"first","affiliation":[{"name":"James Watt School of Engineering, University of Glasgow (Uofg), Glasgow, U.K."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vellaisamy A. L.","family":"Roy","sequence":"additional","affiliation":[{"name":"James Watt School of Engineering, University of Glasgow (Uofg), Glasgow, U.K."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6721-9363","authenticated-orcid":false,"given":"Dani S.","family":"Assi","sequence":"additional","affiliation":[{"name":"James Watt School of Engineering, University of Glasgow (Uofg), Glasgow, U.K."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6233-9518","authenticated-orcid":false,"given":"Liang","family":"Tao","sequence":"additional","affiliation":[{"name":"Faculty of Business Information, Shanghai Business School, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vaithinathan","family":"Karthikeyan","sequence":"additional","affiliation":[{"name":"James Watt School of Engineering, University of Glasgow (Uofg), Glasgow, U.K."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8276-5696","authenticated-orcid":false,"given":"Ning","family":"Xi","sequence":"additional","affiliation":[{"name":"Advanced Technologies Institute, The University of Hong Kong, Hong Kong SAR, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-0391-3065","authenticated-orcid":false,"given":"Wen J.","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, City University of Hong Kong, Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1585-3247","authenticated-orcid":false,"given":"Aleksandra","family":"Vuckovic","sequence":"additional","affiliation":[{"name":"James Watt School of Engineering, University of Glasgow (Uofg), Glasgow, U.K."}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1126\/scirobotics.aaw6339"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2023.3316599"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2020.3009383"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2024.106892"},{"issue":"11","key":"ref5","first-page":"3098","article-title":"FMG versus EMG: A comparison of usability for real-time pattern recognition based control","volume-title":"IEEE Trans. Biomed. Eng.","volume":"66","author":"Belyea","year":"2019"},{"key":"ref6","article-title":"Improving the robustness of real-time myoelectric pattern recognition against arm position changes in transradial amputees","volume-title":"Biomed. Res. Int.","volume":"2017","author":"Geng","year":"2017"},{"issue":"2","key":"ref7","first-page":"244","article-title":"Robust real-time embedded EMG recognition framework using temporal convolutional networks on a multicore IoT processor","volume-title":"IEEE Trans. Biomed. Circuits Syst.","volume":"14","author":"Zanghieri","year":"2020"},{"issue":"4","key":"ref8","first-page":"1526","article-title":"Multiday evaluation of techniques for EMG-based classification of hand motions","volume-title":"IEEE J. Biomed. Health Inform.","volume":"23","author":"Waris","year":"2019"},{"issue":"3","key":"ref9","first-page":"645","article-title":"Improving myoelectric pattern recognition robustness to electrode shift by changing interelectrode distance and electrode configuration","volume-title":"IEEE Trans. Biomed. Eng.","volume":"59","author":"Young","year":"2012"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2020.2991643"},{"issue":"6","key":"ref11","first-page":"644","article-title":"Resolving the limb position effect in myoelectric pattern recognition","volume-title":"IEEE Trans. Neural Syst. Rehabil. Eng.","volume":"19","author":"Fougner","year":"2011"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/s1672-6529(16)60435-3"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2023.3327999"},{"key":"ref14","article-title":"Wearable ultrasound devices: An emerging ERA for biomedicine and clinical translation","volume-title":"Ultrasonics","volume":"142","author":"Hu","year":"2024"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2022.3196926"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2025.3552811"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TMECH.2024.3386929"},{"issue":"5","key":"ref18","first-page":"935","article-title":"A layered sEMGFMG hybrid sensor for hand motion recognition from forearm muscle activities","volume-title":"IEEE Trans. Huan.-Mach. Syst.","volume":"53","author":"Chen","year":"2023"},{"issue":"4","key":"ref19","first-page":"1232","article-title":"EMG and IMU data fusion for locomotion mode classification in transtibial amputees","volume-title":"Prosthesis","volume":"5","author":"Gonzales-Huisa","year":"2023"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1177\/2055668320938588"},{"key":"ref21","first-page":"63","article-title":"Exploration of force myography and surface electromyography in hand gesture classification","volume-title":"Med. Eng. Phys.","volume":"41","author":"Jiang","year":"2017"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/ab7b1e"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/wacv48630.2021.00360"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2016.7591961"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.medengphy.2011.04.016"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2020.2987888"},{"key":"ref27","first-page":"621","article-title":"Activities of daily living-based rehabilitation system for arm and hand motor function retraining after stroke","volume-title":"IEEE Trans. Neural Syst. Rehabil. Eng.","volume":"30","author":"Song","year":"2022"},{"key":"ref28","first-page":"546","article-title":"A transferable adaptive domain adversarial neural network for virtual reality augmented EMG-based gesture recognition","volume-title":"IEEE Trans. Neural Syst. Rehabil. Eng.","volume":"29","author":"Ct-Allard","year":"2021"},{"issue":"4","key":"ref29","first-page":"102","article-title":"Toward intuitive prosthetic control: Solving common issues using force myography, surface electromyography, and pattern recognition in a pilot case study","volume-title":"IEEE Robot. Autom. Mag.","volume":"24","author":"Ahmadizadeh","year":"2017"},{"issue":"2","key":"ref30","first-page":"370","article-title":"A deep transfer learning approach to reducing the effect of electrode shift in EMG pattern recognition-based control","volume-title":"IEEE Trans. Neural Syst. Rehabil. Eng.","volume":"28","author":"Ameri","year":"2020"},{"issue":"17","key":"ref31","article-title":"An ultra-sensitive modular hybrid EMGFMG sensor with floating electrodes","volume-title":"Sensors","volume":"20","author":"Ke","year":"2020"},{"key":"ref32","first-page":"1137","article-title":"A neural probabilistic language model","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"13","author":"Bengio","year":"2000"},{"key":"ref33","first-page":"1","article-title":"Attention is all you need","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Vaswani","year":"2017"},{"key":"ref34","first-page":"211","article-title":"Training stochastic model recognition algorithms as networks can lead to maximum mutual information estimation of parameters","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"2","author":"Bridle","year":"1989"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2016.90"},{"issue":"11","key":"ref36","first-page":"5450","article-title":"Improving the robustness and adaptability of sEMG-based pattern recognition using deep domain adaptation","volume-title":"IEEE J. Biomed. Health Inform.","volume":"26","author":"Shi","year":"2022"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.3390\/app12199700"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.iswa.2024.200352"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ROBIO64047.2024.10907308"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/3136755.3136817"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.3390\/s20174892"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR48806.2021.9412812"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICM62621.2025.10934890"}],"container-title":["IEEE Journal of Biomedical and Health Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6221020\/11511349\/11207509.pdf?arnumber=11207509","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T05:00:21Z","timestamp":1778216421000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11207509\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5]]},"references-count":43,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/jbhi.2025.3622491","relation":{},"ISSN":["2168-2194","2168-2208"],"issn-type":[{"value":"2168-2194","type":"print"},{"value":"2168-2208","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,5]]}}}