{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T17:38:15Z","timestamp":1779385095761,"version":"3.53.1"},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,8]]},"abstract":"<jats:p>Conventionally, gesture recognition based on non-intrusive muscle-computer interfaces required a strongly-supervised learning algorithm and a large amount of labeled training signals of surface electromyography (sEMG). In this work, we show that temporal relationship of sEMG signals and data glove provides implicit supervisory signal for learning the gesture recognition model. To demonstrate this, we present a semi-supervised learning framework with a novel Siamese architecture for sEMG-based gesture recognition. Specifically, we employ auxiliary tasks to learn visual representation; predicting the temporal order of two consecutive sEMG frames; and, optionally, predicting the statistics of 3D hand pose with a sEMG frame. Experiments on the NinaPro, CapgMyo and csl-hdemg datasets validate the efficacy of our proposed approach, especially when the labeled samples are very scarce.<\/jats:p>","DOI":"10.24963\/ijcai.2017\/225","type":"proceedings-article","created":{"date-parts":[[2017,7,28]],"date-time":"2017-07-28T09:14:07Z","timestamp":1501233247000},"page":"1624-1630","source":"Crossref","is-referenced-by-count":39,"title":["Semi-Supervised Learning for Surface EMG-based Gesture Recognition"],"prefix":"10.24963","author":[{"given":"Yu","family":"Du","sequence":"first","affiliation":[{"name":"College of Computer Science, Zhejiang University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yongkang","family":"Wong","sequence":"additional","affiliation":[{"name":"Smart Systems Institute, National University of Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenguang","family":"Jin","sequence":"additional","affiliation":[{"name":"College of Information Science and Electronic Engineering, Zhejiang University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wentao","family":"Wei","sequence":"additional","affiliation":[{"name":"College of Computer Science, Zhejiang University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu","family":"Hu","sequence":"additional","affiliation":[{"name":"College of Computer Science, Zhejiang University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohan","family":"Kankanhalli","sequence":"additional","affiliation":[{"name":"School of Computing, National University of Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weidong","family":"Geng","sequence":"additional","affiliation":[{"name":"College of Computer Science, Zhejiang University"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"10584","event":{"name":"Twenty-Sixth International Joint Conference on Artificial Intelligence","theme":"Artificial Intelligence","location":"Melbourne, Australia","acronym":"IJCAI-2017","number":"26","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)","University of Technology Sydney (UTS)","Australian Computer Society (ACS)"],"start":{"date-parts":[[2017,8,19]]},"end":{"date-parts":[[2017,8,26]]}},"container-title":["Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2017,7,28]],"date-time":"2017-07-28T11:52:53Z","timestamp":1501242773000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2017\/225"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2017,8]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2017\/225","relation":{},"subject":[],"published":{"date-parts":[[2017,8]]}}}