{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T14:56:35Z","timestamp":1771685795665,"version":"3.50.1"},"reference-count":52,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001691","name":"Japan Society for the Promotion of Science (JSPS) KAKENHI","doi-asserted-by":"publisher","award":["JP22K04034"],"award-info":[{"award-number":["JP22K04034"]}],"id":[{"id":"10.13039\/501100001691","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004423","name":"Waseda University Grant for Special Research Project","doi-asserted-by":"publisher","award":["2023C-496"],"award-info":[{"award-number":["2023C-496"]}],"id":[{"id":"10.13039\/501100004423","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004423","name":"Waseda University Grant for Special Research Project","doi-asserted-by":"publisher","award":["2022C-183"],"award-info":[{"award-number":["2022C-183"]}],"id":[{"id":"10.13039\/501100004423","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004423","name":"Waseda University Grant for Special Research Project","doi-asserted-by":"publisher","award":["2021C-589"],"award-info":[{"award-number":["2021C-589"]}],"id":[{"id":"10.13039\/501100004423","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/access.2023.3321807","type":"journal-article","created":{"date-parts":[[2023,10,4]],"date-time":"2023-10-04T17:43:21Z","timestamp":1696441401000},"page":"109885-109898","source":"Crossref","is-referenced-by-count":11,"title":["An End-to-End Air Writing Recognition Method Based on Transformer"],"prefix":"10.1109","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-4982-9047","authenticated-orcid":false,"given":"Xuhang","family":"Tan","sequence":"first","affiliation":[{"name":"Graduate School of Information, Production and Systems, Waseda University, Wakamatsu-ku, Fukuoka, Kitakyushu, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-4468-3152","authenticated-orcid":false,"given":"Jicheng","family":"Tong","sequence":"additional","affiliation":[{"name":"Graduate School of Information, Production and Systems, Waseda University, Wakamatsu-ku, Fukuoka, Kitakyushu, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7776-2984","authenticated-orcid":false,"given":"Takafumi","family":"Matsumaru","sequence":"additional","affiliation":[{"name":"Graduate School of Information, Production and Systems, Waseda University, Wakamatsu-ku, Fukuoka, Kitakyushu, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9640-4725","authenticated-orcid":false,"given":"Vibekananda","family":"Dutta","sequence":"additional","affiliation":[{"name":"Faculty of Mechatronics, Institute of Micromechanics and Photonics, Warsaw University of Technology, Warsaw, Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1026-5902","authenticated-orcid":false,"given":"Xin","family":"He","sequence":"additional","affiliation":[{"name":"Graduate School of Information, Production and Systems, Waseda University, Wakamatsu-ku, Fukuoka, Kitakyushu, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/1999995.1999998"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2021.107939"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/BigCom51056.2020.00008"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2023.3248084"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/s10032-020-00350-4"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.2011.229"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.05.012"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2014.6854641"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ISWC.2012.21"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/THMS.2015.2492599"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2011.2165707"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.12792\/icisip2021.006"},{"key":"ref50","article-title":"Levenshtein distance technique in dictionary lookup methods: An improved approach","author":"haldar","year":"2011","journal-title":"arXiv 1101 1232"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1145\/1143844.1143891"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2015.2477044"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.1078"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2014-564"},{"key":"ref42","first-page":"29","article-title":"Understanding the effective receptive field in deep convolutional neural networks","author":"luo","year":"2016","journal-title":"Proc 30th Int Conf Neural Inf Process Syst"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-2074"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2019-2616"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2021-427"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/WACV45572.2020.9093512"},{"key":"ref8","first-page":"59","article-title":"Deep metric learning for computer vision: A brief overview","author":"mohan","year":"2018","journal-title":"Handbook of Statistics"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2133366.2133371"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TAI.2022.3212981"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1080\/10447318.2020.1819668"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3390\/app11062646"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3313831.3376530"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/THMS.2015.2492598"},{"key":"ref40","article-title":"Video transformers: A survey","author":"selva","year":"2022","journal-title":"arXiv 2201 05991"},{"key":"ref35","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"arXiv 1706 03762"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.41"},{"key":"ref37","author":"coleman","year":"2023","journal-title":"DAWNBench An End-to-End Deep Learning Benchmark and Competition"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.coling-main.529"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/INCIT.2019.8911934"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2002.1040019"},{"key":"ref33","article-title":"An image is worth 16×16 words: Transformers for image recognition at scale","author":"dosovitskiy","year":"2020","journal-title":"arXiv 2010 11929"},{"key":"ref32","article-title":"Improving robustness without sacrificing accuracy with patch Gaussian augmentation","author":"gontijo lopes","year":"2019","journal-title":"arXiv 1906 02611"},{"key":"ref2","author":"rosson","year":"2009","journal-title":"Usability Engineering Scenario-Based Development of Human Computer Interaction"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/S0020-7373(86)80037-2"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/RIVF51545.2021.9642128"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11782"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/BWCCA.2010.127"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s10032-019-00321-4"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s42979-020-00384-9"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.3390\/s20020376"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/223355.223662"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-017-3260-9"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-21969-1_14"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1670"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s40537-019-0197-0","article-title":"A survey on image data augmentation for deep learning","volume":"6","author":"shorten","year":"2019","journal-title":"J Big Data"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.3390\/fi14030093"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/10005208\/10271313.pdf?arnumber=10271313","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,6]],"date-time":"2023-11-06T19:44:54Z","timestamp":1699299894000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10271313\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":52,"URL":"https:\/\/doi.org\/10.1109\/access.2023.3321807","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}