{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T04:34:39Z","timestamp":1772944479067,"version":"3.50.1"},"reference-count":44,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Science Foundation of China","doi-asserted-by":"publisher","award":["61773151"],"award-info":[{"award-number":["61773151"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Science Foundation of China","doi-asserted-by":"publisher","award":["61703135"],"award-info":[{"award-number":["61703135"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003787","name":"Natural Science Foundation of Hebei Province","doi-asserted-by":"publisher","award":["F2018202279"],"award-info":[{"award-number":["F2018202279"]}],"id":[{"id":"10.13039\/501100003787","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/access.2022.3158667","type":"journal-article","created":{"date-parts":[[2022,3,10]],"date-time":"2022-03-10T20:25:06Z","timestamp":1646943906000},"page":"32928-32937","source":"Crossref","is-referenced-by-count":41,"title":["Research on sEMG-Based Gesture Recognition by Dual-View Deep Learning"],"prefix":"10.1109","volume":"10","author":[{"given":"Yan","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Artificial Intelligence, Hebei University of Technology, Tianjin, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2346-0416","authenticated-orcid":false,"given":"Fan","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Hebei University of Technology, Tianjin, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3776-7892","authenticated-orcid":false,"given":"Qi","family":"Fan","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Hebei University of Technology, Tianjin, China"}]},{"given":"Anjie","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Hebei University of Technology, Tianjin, China"}]},{"given":"Xuan","family":"Li","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Hebei University of Technology, Tianjin, China"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/69.908985"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/83.499920"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/IWSSIP.2019.8787290"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/BF01199438"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/IISA.2019.8900709"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2017.00379"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2019.2899222"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/6591035"},{"key":"ref35","first-page":"831","article-title":"Deep learning versus classical neural approach to mammogram recognition","volume":"66","author":"kurek","year":"2018","journal-title":"Bull Polish Acad Sci Tech Sci"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1155\/2017\/7949507"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2903586"},{"key":"ref40","article-title":"Multi-scale dense networks for resource efficient image classification","author":"huang","year":"2017","journal-title":"arXiv 1703 09844"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-41920-6_26"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2017.2779814"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.02.101"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1186\/s12984-016-0212-z"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2008.919734"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2016.12.004"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3008901"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1682\/JRRD.2010.09.0177"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/THMS.2014.2302794"},{"key":"ref28","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1109\/TPAMI.2012.59","article-title":"3D convolutional neural networks for human action recognition","volume":"35","author":"ji","year":"2012","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2017.10.011"},{"key":"ref27","first-page":"1945","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2513479"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s11036-018-1008-0"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2019.2899927"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2785279"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TMTT.2016.2610427"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2771306"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2015.2464195"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"10","DOI":"10.3390\/s18010010","article-title":"Dynamic gesture recognition with a terahertz radar based on range profile sequences and Doppler signatures","volume":"18","author":"zhou","year":"2018","journal-title":"SENSORS"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/10.204774"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/477\/1\/012041"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/IECON.2016.7793333"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/1891903.1891950"},{"key":"ref42","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","volume":"63","author":"simonyan","year":"2015","journal-title":"Computer Science Data"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3389\/fnbot.2016.00009"},{"key":"ref41","first-page":"1","article-title":"Electromyography data for non-invasive naturally-controlled robotic hand prostheses","volume":"1","author":"atzori","year":"2014","journal-title":"Data Science Journal"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ROBIO.2009.4913110"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0186132"},{"key":"ref26","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"J Mach Learn Res"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2017.12.005"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1038\/srep36571"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9668973\/09732991.pdf?arnumber=9732991","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,9]],"date-time":"2022-05-09T20:07:02Z","timestamp":1652126822000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9732991\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":44,"URL":"https:\/\/doi.org\/10.1109\/access.2022.3158667","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}