{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T04:14:10Z","timestamp":1790741650411,"version":"4.1.0"},"reference-count":72,"publisher":"IOP Publishing","issue":"3","license":[{"start":{"date-parts":[[2024,6,6]],"date-time":"2024-06-06T00:00:00Z","timestamp":1717632000000},"content-version":"vor","delay-in-days":5,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2024,6,6]],"date-time":"2024-06-06T00:00:00Z","timestamp":1717632000000},"content-version":"tdm","delay-in-days":5,"URL":"https:\/\/iopscience.iop.org\/info\/page\/text-and-data-mining"}],"funder":[{"name":"Fasikl"}],"content-domain":{"domain":["iopscience.iop.org"],"crossmark-restriction":false},"short-container-title":["J. Neural Eng."],"published-print":{"date-parts":[[2024,6,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>\n                  <jats:italic>Objective.<\/jats:italic> Upper limb loss can profoundly impact an individual\u2019s quality of life, posing challenges to both physical capabilities and emotional well-being. To restore limb function by decoding electromyography (EMG) signals, in this paper, we present a novel deep prototype learning method for accurate and generalizable EMG-based gesture classification. Existing methods suffer from limitations in generalization across subjects due to the diverse nature of individual muscle responses, impeding seamless applicability in broader populations. <jats:italic>Approach.<\/jats:italic> By leveraging deep prototype learning, we introduce a method that goes beyond direct output prediction. Instead, it matches new EMG inputs to a set of learned prototypes and predicts the corresponding labels. <jats:italic>Main results.<\/jats:italic> This novel methodology significantly enhances the model\u2019s classification performance and generalizability by discriminating subtle differences between gestures, making it more reliable and precise in real-world applications. Our experiments on four Ninapro datasets suggest that our deep prototype learning classifier outperforms state-of-the-art methods in terms of intra-subject and inter-subject classification accuracy in gesture prediction. <jats:italic>Significance.<\/jats:italic> The results from our experiments validate the effectiveness of the proposed method and pave the way for future advancements in the field of EMG gesture classification for upper limb prosthetics.<\/jats:p>","DOI":"10.1088\/1741-2552\/ad4c98","type":"journal-article","created":{"date-parts":[[2024,5,16]],"date-time":"2024-05-16T22:25:41Z","timestamp":1715898341000},"page":"036031","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":12,"title":["Unveiling EMG semantics: a prototype-learning approach to generalizable gesture classification"],"prefix":"10.1088","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7595-9791","authenticated-orcid":true,"given":"Hunmin","family":"Lee","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6439-5476","authenticated-orcid":false,"given":"Ming","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8322-1121","authenticated-orcid":false,"given":"Jinhui","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhi","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3054-8934","authenticated-orcid":false,"given":"Qi","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"266","published-online":{"date-parts":[[2024,6,6]]},"reference":[{"key":"jnead4c98bib1","article-title":"Limb loss and limb difference: facts, statistics, and resources","author":"Hanger Clinic (n.d.)","year":"2022"},{"key":"jnead4c98bib2","doi-asserted-by":"publisher","first-page":"370","DOI":"10.1590\/1413-785220182606180607","article-title":"Epidemiology of traumatic injuries of the upper limbs in a university hospital","volume":"26","author":"Ribak","year":"2018","journal-title":"Acta Ortop. 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