{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,20]],"date-time":"2025-12-20T21:54:57Z","timestamp":1766267697118,"version":"3.37.3"},"reference-count":18,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,11,1]],"date-time":"2021-11-01T00:00:00Z","timestamp":1635724800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,11,1]],"date-time":"2021-11-01T00:00:00Z","timestamp":1635724800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,11,1]],"date-time":"2021-11-01T00:00:00Z","timestamp":1635724800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001863","name":"New Energy and Industrial Technology Development Organization","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001863","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,11,1]]},"DOI":"10.1109\/embc46164.2021.9631048","type":"proceedings-article","created":{"date-parts":[[2021,12,9]],"date-time":"2021-12-09T21:24:16Z","timestamp":1639085056000},"page":"35-38","source":"Crossref","is-referenced-by-count":4,"title":["Time-domain Mixup Source Data Augmentation of sEMGs for Motion Recognition towards Efficient Style Transfer Mapping"],"prefix":"10.1109","author":[{"given":"Suguru","family":"Kanoga","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tomoumi","family":"Takase","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Takayuki","family":"Hoshino","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hideki","family":"Asoh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2005.856295"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/1961189.1961199"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995661"},{"key":"ref13","article-title":"k-means++: The advantages of careful seeding","author":"arthur","year":"2006","journal-title":"Tech Rep"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2904052"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0206049"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TBCAS.2019.2955641"},{"key":"ref17","article-title":"Parkinson&#x2019;s disease EMG data augmentation and simulation with DCGANs and style transfer","volume":"20","author":"anicet z","year":"2020","journal-title":"SENSORS"},{"key":"ref18","first-page":"3755","article-title":"Feasibility of datadriven EMG signal generation using a deep generative model","author":"campbell","year":"2020","journal-title":"2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)"},{"key":"ref4","article-title":"Hand gesture recognition based on surface electromyography using convolutional neural network with transfer learning method","author":"chen","year":"2020","journal-title":"IEEE J Biomed Health Inform"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JTEHM.2020.2972523"},{"key":"ref6","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":"ref5","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":"ref8","doi-asserted-by":"publisher","DOI":"10.3390\/s20174892"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9054070"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/8846021"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/8810663"},{"key":"ref9","article-title":"mixup: Beyond empirical risk minimization","author":"zhang","year":"2018","journal-title":"2018 ICLR"}],"event":{"name":"2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","start":{"date-parts":[[2021,11,1]]},"location":"Mexico","end":{"date-parts":[[2021,11,5]]}},"container-title":["2021 43rd Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9629355\/9629471\/09631048.pdf?arnumber=9631048","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:54:06Z","timestamp":1652201646000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9631048\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,11,1]]},"references-count":18,"URL":"https:\/\/doi.org\/10.1109\/embc46164.2021.9631048","relation":{},"subject":[],"published":{"date-parts":[[2021,11,1]]}}}