{"id":"https://openalex.org/W4313465519","doi":"https://doi.org/10.3389/fnbot.2022.1072365","title":"A CW-CNN regression model-based real-time system for virtual hand control","display_name":"A CW-CNN regression model-based real-time system for virtual hand control","publication_year":2022,"publication_date":"2022-12-21","ids":{"openalex":"https://openalex.org/W4313465519","doi":"https://doi.org/10.3389/fnbot.2022.1072365","pmid":"https://pubmed.ncbi.nlm.nih.gov/36620487"},"language":"en","primary_location":{"id":"doi:10.3389/fnbot.2022.1072365","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fnbot.2022.1072365","pdf_url":null,"source":{"id":"https://openalex.org/S115606517","display_name":"Frontiers in Neurorobotics","issn_l":"1662-5218","issn":["1662-5218"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Neurorobotics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3389/fnbot.2022.1072365","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085612810","display_name":"Zixuan Qin","orcid":"https://orcid.org/0000-0002-9205-2531"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]},{"id":"https://openalex.org/I90023481","display_name":"National Institute of Information and Communications Technology","ror":"https://ror.org/016bgq349","country_code":"JP","type":"facility","lineage":["https://openalex.org/I90023481"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Zixuan Qin","raw_affiliation_strings":["Department of Information and Communications Engineering, Tokyo Institute of Technology, Yokohama, Japan","Department of Information and Communications Engineering, Tokyo Institute of Technology, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Communications Engineering, Tokyo Institute of Technology, Yokohama, Japan","institution_ids":["https://openalex.org/I90023481","https://openalex.org/I114531698"]},{"raw_affiliation_string":"Department of Information and Communications Engineering, Tokyo Institute of Technology, Japan","institution_ids":["https://openalex.org/I90023481","https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043231438","display_name":"Zixun He","orcid":"https://orcid.org/0000-0002-4574-2337"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]},{"id":"https://openalex.org/I90023481","display_name":"National Institute of Information and Communications Technology","ror":"https://ror.org/016bgq349","country_code":"JP","type":"facility","lineage":["https://openalex.org/I90023481"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Zixun He","raw_affiliation_strings":["Department of Information and Communications Engineering, Tokyo Institute of Technology, Yokohama, Japan","Department of Information and Communications Engineering, Tokyo Institute of Technology, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Communications Engineering, Tokyo Institute of Technology, Yokohama, Japan","institution_ids":["https://openalex.org/I90023481","https://openalex.org/I114531698"]},{"raw_affiliation_string":"Department of Information and Communications Engineering, Tokyo Institute of Technology, Japan","institution_ids":["https://openalex.org/I90023481","https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100631362","display_name":"Yuanhao Li","orcid":"https://orcid.org/0000-0002-6938-5012"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]},{"id":"https://openalex.org/I90023481","display_name":"National Institute of Information and Communications Technology","ror":"https://ror.org/016bgq349","country_code":"JP","type":"facility","lineage":["https://openalex.org/I90023481"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuanhao Li","raw_affiliation_strings":["Department of Information and Communications Engineering, Tokyo Institute of Technology, Yokohama, Japan","Department of Information and Communications Engineering, Tokyo Institute of Technology, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Communications Engineering, Tokyo Institute of Technology, Yokohama, Japan","institution_ids":["https://openalex.org/I90023481","https://openalex.org/I114531698"]},{"raw_affiliation_string":"Department of Information and Communications Engineering, Tokyo Institute of Technology, Japan","institution_ids":["https://openalex.org/I90023481","https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042243284","display_name":"Supat Saetia","orcid":"https://orcid.org/0000-0001-6139-876X"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Supat Saetia","raw_affiliation_strings":["Institute of Innovative Research, Tokyo Institute of Technology, Yokohama, Japan","Institute of Innovative Research, Tokyo Institute of Technology, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Innovative Research, Tokyo Institute of Technology, Yokohama, Japan","institution_ids":["https://openalex.org/I114531698"]},{"raw_affiliation_string":"Institute of Innovative Research, Tokyo Institute of Technology, Japan","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055913048","display_name":"Yasuharu Koike","orcid":"https://orcid.org/0000-0002-8169-0044"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasuharu Koike","raw_affiliation_strings":["Institute of Innovative Research, Tokyo Institute of Technology, Yokohama, Japan","Institute of Innovative Research, Tokyo Institute of Technology, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Innovative Research, Tokyo Institute of Technology, Yokohama, Japan","institution_ids":["https://openalex.org/I114531698"]},{"raw_affiliation_string":"Institute of Innovative Research, Tokyo Institute of Technology, Japan","institution_ids":["https://openalex.org/I114531698"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5085612810"],"corresponding_institution_ids":["https://openalex.org/I114531698","https://openalex.org/I90023481"],"apc_list":{"value":2950,"currency":"USD","value_usd":2950},"apc_paid":{"value":2950,"currency":"USD","value_usd":2950},"fwci":0.3967,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.54474966,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"16","issue":null,"first_page":"1072365","last_page":"1072365"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8129695653915405},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.6184248924255371},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5902684330940247},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5592425465583801},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4931733012199402},{"id":"https://openalex.org/keywords/control-system","display_name":"Control system","score":0.4482736587524414},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.42926883697509766},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4236035645008087},{"id":"https://openalex.org/keywords/motion-control","display_name":"Motion control","score":0.41768592596054077},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3724710941314697},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3566634953022003},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.13472333550453186},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09885510802268982},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08032006025314331},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0767071545124054}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8129695653915405},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.6184248924255371},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5902684330940247},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5592425465583801},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4931733012199402},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.4482736587524414},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.42926883697509766},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4236035645008087},{"id":"https://openalex.org/C145565327","wikidata":"https://www.wikidata.org/wiki/Q852514","display_name":"Motion control","level":3,"score":0.41768592596054077},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3724710941314697},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3566634953022003},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.13472333550453186},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09885510802268982},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08032006025314331},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0767071545124054},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3389/fnbot.2022.1072365","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fnbot.2022.1072365","pdf_url":null,"source":{"id":"https://openalex.org/S115606517","display_name":"Frontiers in Neurorobotics","issn_l":"1662-5218","issn":["1662-5218"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Neurorobotics","raw_type":"journal-article"},{"id":"pmid:36620487","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36620487","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in neurorobotics","raw_type":null},{"id":"pmh:oai:doaj.org/article:26d8c665539f4a3c8810ea6e9bbb0e35","is_oa":true,"landing_page_url":"https://doaj.org/article/26d8c665539f4a3c8810ea6e9bbb0e35","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Frontiers in Neurorobotics, Vol 16 (2022)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:9812573","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9812573","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Front Neurorobot","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3389/fnbot.2022.1072365","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fnbot.2022.1072365","pdf_url":null,"source":{"id":"https://openalex.org/S115606517","display_name":"Frontiers in Neurorobotics","issn_l":"1662-5218","issn":["1662-5218"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Neurorobotics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2440578970","display_name":null,"funder_award_id":"JPMJSP2106","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G6169173256","display_name":null,"funder_award_id":"19H05728","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1997815560","https://openalex.org/W2021108748","https://openalex.org/W2029895515","https://openalex.org/W2036384654","https://openalex.org/W2036411590","https://openalex.org/W2105934661","https://openalex.org/W2149933564","https://openalex.org/W2156064084","https://openalex.org/W2166060802","https://openalex.org/W2169931829","https://openalex.org/W2587383831","https://openalex.org/W2769808725","https://openalex.org/W2783748062","https://openalex.org/W2787157199","https://openalex.org/W2792724009","https://openalex.org/W2799995473","https://openalex.org/W2887224044","https://openalex.org/W2897869921","https://openalex.org/W2942628208","https://openalex.org/W2952210769","https://openalex.org/W2954664426","https://openalex.org/W2969970257","https://openalex.org/W2974153309","https://openalex.org/W2983651626","https://openalex.org/W2991257032","https://openalex.org/W2998998642","https://openalex.org/W3082023888","https://openalex.org/W3093631509","https://openalex.org/W3106359401","https://openalex.org/W3130235974","https://openalex.org/W3160379785","https://openalex.org/W3185478678","https://openalex.org/W3194029923","https://openalex.org/W4220776944","https://openalex.org/W4224245116","https://openalex.org/W6794463877"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W1580685205","https://openalex.org/W4321487865","https://openalex.org/W2760382975","https://openalex.org/W4313906399","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W2349716249","https://openalex.org/W4239306820"],"abstract_inverted_index":{"For":[0],"upper":[1],"limb":[2],"amputees,":[3],"wearing":[4],"a":[5,25,113,144],"myoelectric":[6],"prosthetic":[7,234],"hand":[8,122],"is":[9,39],"the":[10,22,132,167,172,199,213,222,224],"only":[11],"way":[12],"for":[13,47,103,120,162,206],"them":[14,61,138],"to":[15,65,93,130,142,188,232],"continue":[16],"normal":[17],"life.":[18],"Even":[19],"until":[20],"now,":[21],"proposal":[23],"of":[24,60,84,164],"high-precision":[26],"and":[27,152,177,212,217],"natural":[28],"performance":[29],"real-time":[30,75,100,117,168,226],"control":[31,76,101,118,140,143,183,201,227],"system":[32,119,202,214,228],"based":[33,54,77],"on":[34,55,74,78,158],"surface":[35],"electromyography":[36],"(sEMG)":[37],"signals":[38],"still":[40],"challenging.":[41],"Researchers":[42],"have":[43,62],"proposed":[44,112,200,225],"many":[45],"strategies":[46],"motion":[48,88,190,208],"classification":[49],"or":[50],"regression":[51,97,115,191,209],"prediction":[52],"tasks":[53],"sEMG":[56,108],"signals.":[57,109],"However,":[58],"most":[59],"been":[63],"limited":[64],"offline":[66],"analysis":[67],"only.":[68],"There":[69],"are":[70,86],"even":[71],"few":[72],"papers":[73],"deep":[79,95],"learning":[80],"models,":[81],"almost":[82],"all":[83,163],"which":[85],"about":[87],"classification.":[89],"Rare":[90],"studies":[91],"tried":[92],"use":[94],"learning-based":[96],"models":[98],"in":[99,192,210],"systems":[102],"multi-joint":[104],"angle":[105],"estimation":[106,175],"via":[107],"This":[110],"paper":[111],"CW-CNN":[114],"model-based":[116],"virtual":[121,145],"control.":[123],"We":[124],"designed":[125],"an":[126],"Adaptive":[127],"Kalman":[128],"Filter":[129],"smooth":[131],"joint":[133,173],"angles":[134,174],"output":[135],"before":[136],"sending":[137],"as":[139],"commands":[141],"hand.":[146,235],"Eight":[147],"healthy":[148],"participants":[149],"were":[150,156],"invited,":[151],"three":[153],"sessions":[154],"experiments":[155],"conducted":[157],"two":[159],"different":[160],"days":[161],"them.":[165],"During":[166],"experiment,":[169],"we":[170],"analyzed":[171],"accuracy":[176],"computational":[178,219],"latency.":[179,220],"Moreover,":[180],"target":[181],"achievement":[182],"(TAC)":[184],"test":[185],"was":[186],"applied":[187,231],"emphasize":[189],"real-time.":[193],"The":[194],"experimental":[195],"results":[196],"show":[197],"that":[198],"has":[203],"high":[204],"precision":[205],"3-DOFs":[207],"simultaneously,":[211],"remains":[215],"stable":[216],"low":[218],"In":[221],"future,":[223],"can":[229],"be":[230],"actual":[233]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-13T07:31:44.756512","created_date":"2025-10-10T00:00:00"}
