{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T01:58:29Z","timestamp":1772935109862,"version":"3.50.1"},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,7,15]],"date-time":"2021-07-15T00:00:00Z","timestamp":1626307200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,7,15]],"date-time":"2021-07-15T00:00:00Z","timestamp":1626307200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,15]],"date-time":"2021-07-15T00:00:00Z","timestamp":1626307200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100002367","name":"Chinese Academy of Sciences","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002367","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,7,15]]},"DOI":"10.1109\/rcar52367.2021.9517643","type":"proceedings-article","created":{"date-parts":[[2021,8,31]],"date-time":"2021-08-31T20:32:50Z","timestamp":1630441970000},"page":"638-643","source":"Crossref","is-referenced-by-count":5,"title":["Finger Joint Angle Estimation based on sEMG signals and deep learning method"],"prefix":"10.1109","author":[{"given":"Chenfei","family":"Ma","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weiyu","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lisheng","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guanglin","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2013.02.023"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref12","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":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.1989.118638"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-1170"},{"key":"ref17","author":"kingma","year":"2015","journal-title":"Adam A method for stochastic optimization"},{"key":"ref18","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","volume":"1","author":"ioffe","year":"0","journal-title":"32nd International Conference on Machine Learning ICML 2015"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4842-2766-4_12"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2014.09.003"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.107040"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2012.2188799"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2012.2232293"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2013.2282898"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2014.2305520"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3439726"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3329784"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/sdata.2014.53","article-title":"Electromyography data for noninvasive naturally-controlled robotic hand prostheses","volume":"1","author":"atzori","year":"2014","journal-title":"Scientific Data"},{"key":"ref20","author":"siegel","year":"1956","journal-title":"Nonparametric Statistics for the Behavioral Sciences"}],"event":{"name":"2021 IEEE International Conference on Real-time Computing and Robotics (RCAR)","location":"Xining, China","start":{"date-parts":[[2021,7,15]]},"end":{"date-parts":[[2021,7,19]]}},"container-title":["2021 IEEE International Conference on Real-time Computing and Robotics (RCAR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9517075\/9517076\/09517643.pdf?arnumber=9517643","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:45:01Z","timestamp":1652197501000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9517643\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,15]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/rcar52367.2021.9517643","relation":{},"subject":[],"published":{"date-parts":[[2021,7,15]]}}}