{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,22]],"date-time":"2026-10-22T03:34:59Z","timestamp":1792640099226,"version":"4.5.0"},"reference-count":34,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2021,4,1]],"date-time":"2021-04-01T00:00:00Z","timestamp":1617235200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,4,1]],"date-time":"2021-04-01T00:00:00Z","timestamp":1617235200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,4,1]],"date-time":"2021-04-01T00:00:00Z","timestamp":1617235200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61871360"],"award-info":[{"award-number":["61871360"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61671417"],"award-info":[{"award-number":["61671417"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Biomed. Health Inform."],"published-print":{"date-parts":[[2021,4]]},"DOI":"10.1109\/jbhi.2020.3009383","type":"journal-article","created":{"date-parts":[[2020,7,15]],"date-time":"2020-07-15T20:31:07Z","timestamp":1594845067000},"page":"1292-1304","source":"Crossref","is-referenced-by-count":212,"title":["Hand Gesture Recognition based on Surface Electromyography using Convolutional Neural Network with Transfer Learning Method"],"prefix":"10.1109","volume":"25","author":[{"given":"Xiang","family":"Chen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ruochen","family":"Hu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xu","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xun","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref33","article-title":"Keras","author":"chollet","year":"0"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref31","article-title":"Don't decay the learning rate, increase the batch size","author":"smith","year":"2017"},{"key":"ref30","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1007\/978-3-319-46349-0_5","article-title":"On the impact of data set size in transfer learning using deep neural networks","volume":"9897","author":"soekhoe","year":"2016","journal-title":"Adv Intell Data Anal Xv"},{"key":"ref34","first-page":"265","article-title":"TensorFlow: A system for large-scale machine learning","author":"abadi","year":"0","journal-title":"Proc 12th USENIX Conf Operating Syst Des Implementation"},{"key":"ref10","doi-asserted-by":"crossref","DOI":"10.1038\/srep36571","article-title":"Gesture recognition by instantaneous surface EMG images","volume":"6","author":"geng","year":"2016","journal-title":"Sci Rep"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2017.12.005"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0206049"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/SMC.2017.8122854"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2019.2896269"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2019.2946625"},{"key":"ref16","first-page":"3320","article-title":"How transferable are features in deep neural networks?","volume":"2","author":"yosinski","year":"2014","journal-title":"Adv Neural Inf Process Syst"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1038\/sdata.2014.53"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/2702123.2702501"},{"key":"ref19","article-title":"Progressive neural networks","author":"rusu","year":"0"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00647"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3390\/s16040556"},{"key":"ref27","article-title":"Adam: A method for stochastic optimization[J]","author":"kingma","year":"0"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2016.2560907"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2009.11.072"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2013.02.023"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.jelekin.2017.02.004"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2013.12.010"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/IWW-BCI.2016.7457459"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2007.07.009"},{"key":"ref20","first-page":"227","author":"nordin","year":"1989","journal-title":"Basic Biomechanics of the Musculoskeletal System"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/S1388-2457(99)00306-5"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3390\/s17030458"},{"key":"ref24","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"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":"ref25","first-page":"315","article-title":"Deep sparse rectifier neural networks","author":"glorot","year":"2011","journal-title":"Proc 14th Int Conf Artif Intell Statist"}],"container-title":["IEEE Journal of Biomedical and Health Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221020\/9395648\/09141383.pdf?arnumber=9141383","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:53:26Z","timestamp":1652194406000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9141383\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4]]},"references-count":34,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/jbhi.2020.3009383","relation":{},"ISSN":["2168-2194","2168-2208"],"issn-type":[{"value":"2168-2194","type":"print"},{"value":"2168-2208","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,4]]}}}