{"id":"https://openalex.org/W4391496242","doi":"https://doi.org/10.1109/m2vip58386.2023.10413402","title":"A Spatio-Temporal Graph Convolutional Network for Gesture Recognition from High-Density Electromyography","display_name":"A Spatio-Temporal Graph Convolutional Network for Gesture Recognition from High-Density Electromyography","publication_year":2023,"publication_date":"2023-11-21","ids":{"openalex":"https://openalex.org/W4391496242","doi":"https://doi.org/10.1109/m2vip58386.2023.10413402"},"language":"en","primary_location":{"id":"doi:10.1109/m2vip58386.2023.10413402","is_oa":false,"landing_page_url":"https://doi.org/10.1109/m2vip58386.2023.10413402","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 29th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022453171","display_name":"Wenjuan Zhong","orcid":"https://orcid.org/0000-0001-6615-3809"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenjuan Zhong","raw_affiliation_strings":["Southern University of Science and Technology,Department of Biomedicial Engineering,Shenzhen,China","Department of Biomedicial Engineering, Southern University of Science and Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology,Department of Biomedicial Engineering,Shenzhen,China","institution_ids":["https://openalex.org/I3045169105"]},{"raw_affiliation_string":"Department of Biomedicial Engineering, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100409581","display_name":"Yuyang Zhang","orcid":"https://orcid.org/0000-0003-4779-8585"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuyang Zhang","raw_affiliation_strings":["Southern University of Science and Technology,Department of Biomedicial Engineering,Shenzhen,China","Department of Biomedicial Engineering, Southern University of Science and Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology,Department of Biomedicial Engineering,Shenzhen,China","institution_ids":["https://openalex.org/I3045169105"]},{"raw_affiliation_string":"Department of Biomedicial Engineering, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019187516","display_name":"Peiwen Fu","orcid":null},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peiwen Fu","raw_affiliation_strings":["Southern University of Science and Technology,Department of Biomedicial Engineering,Shenzhen,China","Department of Biomedicial Engineering, Southern University of Science and Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology,Department of Biomedicial Engineering,Shenzhen,China","institution_ids":["https://openalex.org/I3045169105"]},{"raw_affiliation_string":"Department of Biomedicial Engineering, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100580467","display_name":"Wenxuan Xiong","orcid":null},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxuan Xiong","raw_affiliation_strings":["Southern University of Science and Technology,Department of Biomedicial Engineering,Shenzhen,China","Department of Biomedicial Engineering, Southern University of Science and Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology,Department of Biomedicial Engineering,Shenzhen,China","institution_ids":["https://openalex.org/I3045169105"]},{"raw_affiliation_string":"Department of Biomedicial Engineering, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100381690","display_name":"Mingming Zhang","orcid":"https://orcid.org/0000-0001-8016-1856"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingming Zhang","raw_affiliation_strings":["Southern University of Science and Technology,Department of Biomedicial Engineering,Shenzhen,China","Department of Biomedicial Engineering, Southern University of Science and Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology,Department of Biomedicial Engineering,Shenzhen,China","institution_ids":["https://openalex.org/I3045169105"]},{"raw_affiliation_string":"Department of Biomedicial Engineering, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5022453171"],"corresponding_institution_ids":["https://openalex.org/I3045169105"],"apc_list":null,"apc_paid":null,"fwci":1.0088,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.73190056,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9998000264167786,"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":0.9998000264167786,"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/T10338","display_name":"Advanced Sensor and Energy Harvesting Materials","score":0.9962000250816345,"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":0.9957000017166138,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.8600958585739136},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7697219848632812},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.6815386414527893},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6340625882148743},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5885655879974365},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5867247581481934},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5745099186897278},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5207443237304688},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.4811871647834778},{"id":"https://openalex.org/keywords/generality","display_name":"Generality","score":0.43256497383117676},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3870950937271118},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.29148069024086},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.15506869554519653}],"concepts":[{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.8600958585739136},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7697219848632812},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.6815386414527893},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6340625882148743},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5885655879974365},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5867247581481934},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5745099186897278},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5207443237304688},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.4811871647834778},{"id":"https://openalex.org/C2780767217","wikidata":"https://www.wikidata.org/wiki/Q5532421","display_name":"Generality","level":2,"score":0.43256497383117676},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3870950937271118},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.29148069024086},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.15506869554519653},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/m2vip58386.2023.10413402","is_oa":false,"landing_page_url":"https://doi.org/10.1109/m2vip58386.2023.10413402","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 29th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7699999809265137}],"awards":[{"id":"https://openalex.org/G5442168188","display_name":null,"funder_award_id":"2022YFF1202500,2022YFF1202502","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7274290856","display_name":null,"funder_award_id":"62273173","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327605","display_name":"Southern University of Science and Technology","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2003512661","https://openalex.org/W2519887557","https://openalex.org/W2555541061","https://openalex.org/W2587122088","https://openalex.org/W2756203131","https://openalex.org/W2898716605","https://openalex.org/W2907492528","https://openalex.org/W3011014576","https://openalex.org/W3103720336","https://openalex.org/W3130417799","https://openalex.org/W3152893301","https://openalex.org/W3186548651","https://openalex.org/W3202139049","https://openalex.org/W4205316770","https://openalex.org/W4224251869","https://openalex.org/W4225528062","https://openalex.org/W4229336522","https://openalex.org/W4295436641","https://openalex.org/W4312096228","https://openalex.org/W4319302823","https://openalex.org/W4319990494","https://openalex.org/W4372348108"],"related_works":["https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W2028966255","https://openalex.org/W2010878661","https://openalex.org/W3147379364","https://openalex.org/W2026258298","https://openalex.org/W2466763065","https://openalex.org/W3204639664","https://openalex.org/W2970836791","https://openalex.org/W1994032303"],"abstract_inverted_index":{"Accurate":[0],"hand":[1],"gesture":[2,43,84],"prediction":[3],"is":[4,122,139],"crucial":[5],"for":[6,95],"effective":[7],"upper-limb":[8],"prosthetic":[9],"limbs":[10],"control.":[11],"As":[12],"the":[13,55,126,130,144,174,178,198],"high":[14],"flexibility":[15],"and":[16,59,75,133],"multiple":[17],"degrees":[18],"of":[19,73,114,167,177,185],"freedom":[20],"exhibited":[21],"by":[22],"human":[23],"hands,":[24],"there":[25],"has":[26],"been":[27],"a":[28,82,111,118,134,159,164],"growing":[29],"interest":[30],"in":[31,52,63,129,187],"integrating":[32],"deep":[33,193],"networks":[34,94,103],"with":[35],"high-density":[36],"surface":[37],"electromyography":[38],"(HD-sEMG)":[39],"grids":[40],"to":[41,124,141,197],"enhance":[42],"recognition":[44,85],"capabilities.":[45],"However,":[46],"many":[47],"existing":[48],"methods":[49,195],"fall":[50],"short":[51],"fully":[53],"exploit":[54],"specific":[56],"spatial":[57,135,146],"topology":[58,147],"temporal":[60,119,127],"dependencies":[61],"present":[62],"HD-sEMG":[64,115,131,151,161],"data.":[65],"Additionally,":[66],"these":[67],"studies":[68],"are":[69],"often":[70],"limited":[71],"number":[72,166],"gestures":[74,168],"lack":[76],"generality.":[77],"Hence,":[78],"this":[79],"study":[80],"introduces":[81],"novel":[83],"method,":[86,180],"named":[87],"STGCN-GR,":[88],"which":[89,190],"leverages":[90],"spatio-temporal":[91],"graph":[92,112,136],"convolution":[93,120,137],"HD-sEMG-based":[96],"human-machine":[97],"interfaces.":[98],"Firstly,":[99],"we":[100],"construct":[101],"muscle":[102],"based":[104],"on":[105,158],"functional":[106],"connectivity":[107],"between":[108],"channels,":[109],"creating":[110],"representation":[113],"recordings.":[116],"Subsequently,":[117],"module":[121,138],"applied":[123,196],"capture":[125],"dependences":[128],"series":[132],"employed":[140],"effectively":[142],"learn":[143],"intrinsic":[145],"information":[148],"among":[149],"distinct":[150],"channels.":[152],"We":[153],"evaluate":[154],"our":[155],"proposed":[156],"model":[157],"public":[160],"dataset":[162],"comprising":[163],"substantial":[165],"(i.e.,":[169],"65).":[170],"Our":[171],"results":[172],"demonstrate":[173],"remarkable":[175],"capability":[176],"STGCN-GR":[179],"achieving":[181],"an":[182],"impressive":[183],"accuracy":[184],"91.07%":[186],"predicting":[188],"gestures,":[189],"surpasses":[191],"state-of-the-art":[192],"learning":[194],"same":[199],"dataset.":[200]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
