{"id":"https://openalex.org/W4205298393","doi":"https://doi.org/10.1109/smc52423.2021.9658997","title":"Dynamic Hand Gesture Recognition via Electromyographic Signal Based on Convolutional Neural Network","display_name":"Dynamic Hand Gesture Recognition via Electromyographic Signal Based on Convolutional Neural Network","publication_year":2021,"publication_date":"2021-10-17","ids":{"openalex":"https://openalex.org/W4205298393","doi":"https://doi.org/10.1109/smc52423.2021.9658997"},"language":"en","primary_location":{"id":"doi:10.1109/smc52423.2021.9658997","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc52423.2021.9658997","pdf_url":null,"source":{"id":"https://openalex.org/S4363607761","display_name":"2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5090089728","display_name":"Shouan Song","orcid":null},"institutions":[{"id":"https://openalex.org/I4210094772","display_name":"Henan University of Engineering","ror":"https://ror.org/007wym039","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210094772"]},{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shouan Song","raw_affiliation_strings":["Robot Perception and Control Engineering Laboratory of Henan Province, China","School of Electrical Engineering, Zhengzhou University, China"],"affiliations":[{"raw_affiliation_string":"Robot Perception and Control Engineering Laboratory of Henan Province, China","institution_ids":[]},{"raw_affiliation_string":"School of Electrical Engineering, Zhengzhou University, China","institution_ids":["https://openalex.org/I4210094772","https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100698159","display_name":"Lei Yang","orcid":"https://orcid.org/0000-0003-1212-9445"},"institutions":[{"id":"https://openalex.org/I4210094772","display_name":"Henan University of Engineering","ror":"https://ror.org/007wym039","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210094772"]},{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Yang","raw_affiliation_strings":["Robot Perception and Control Engineering Laboratory of Henan Province, China","School of Electrical Engineering, Zhengzhou University, China"],"affiliations":[{"raw_affiliation_string":"Robot Perception and Control Engineering Laboratory of Henan Province, China","institution_ids":[]},{"raw_affiliation_string":"School of Electrical Engineering, Zhengzhou University, China","institution_ids":["https://openalex.org/I4210094772","https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026669797","display_name":"Man Wu","orcid":"https://orcid.org/0000-0002-8459-2028"},"institutions":[{"id":"https://openalex.org/I4210166468","display_name":"Beijing Aerospace Flight Control Center","ror":"https://ror.org/007a14354","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210166468"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Man Wu","raw_affiliation_strings":["Beijing Aerospace Control Center, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Aerospace Control Center, Beijing, China","institution_ids":["https://openalex.org/I4210166468"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006721216","display_name":"Yanhong Liu","orcid":"https://orcid.org/0000-0002-7349-5871"},"institutions":[{"id":"https://openalex.org/I4210094772","display_name":"Henan University of Engineering","ror":"https://ror.org/007wym039","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210094772"]},{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanhong Liu","raw_affiliation_strings":["Robot Perception and Control Engineering Laboratory of Henan Province, China","School of Electrical Engineering, Zhengzhou University, China"],"affiliations":[{"raw_affiliation_string":"Robot Perception and Control Engineering Laboratory of Henan Province, China","institution_ids":[]},{"raw_affiliation_string":"School of Electrical Engineering, Zhengzhou University, China","institution_ids":["https://openalex.org/I4210094772","https://openalex.org/I38877650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037783994","display_name":"Hongnian Yu","orcid":"https://orcid.org/0000-0003-2894-2086"},"institutions":[{"id":"https://openalex.org/I251738","display_name":"Edinburgh Napier University","ror":"https://ror.org/03zjvnn91","country_code":"GB","type":"education","lineage":["https://openalex.org/I251738"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hongnian Yu","raw_affiliation_strings":["Built Environment, Edinburgh Napier University, Edinburgh, UK"],"affiliations":[{"raw_affiliation_string":"Built Environment, Edinburgh Napier University, Edinburgh, UK","institution_ids":["https://openalex.org/I251738"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5090089728"],"corresponding_institution_ids":["https://openalex.org/I38877650","https://openalex.org/I4210094772"],"apc_list":null,"apc_paid":null,"fwci":3.4594,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.95412609,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"876","last_page":"881"},"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"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":0.9876000285148621,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7764732837677002},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.740782618522644},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.7199848294258118},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7164208889007568},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.6840968728065491},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5620032548904419},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5286135077476501},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5238338112831116},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5020744800567627},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4973302185535431},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4961763322353363},{"id":"https://openalex.org/keywords/electromyography","display_name":"Electromyography","score":0.47048357129096985},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.4416337311267853},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42529845237731934}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7764732837677002},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.740782618522644},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.7199848294258118},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7164208889007568},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.6840968728065491},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5620032548904419},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5286135077476501},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5238338112831116},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5020744800567627},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4973302185535431},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4961763322353363},{"id":"https://openalex.org/C2777515770","wikidata":"https://www.wikidata.org/wiki/Q507369","display_name":"Electromyography","level":2,"score":0.47048357129096985},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4416337311267853},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42529845237731934},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc52423.2021.9658997","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc52423.2021.9658997","pdf_url":null,"source":{"id":"https://openalex.org/S4363607761","display_name":"2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1677182931","https://openalex.org/W2044628302","https://openalex.org/W2075575424","https://openalex.org/W2111468547","https://openalex.org/W2163605009","https://openalex.org/W2348477434","https://openalex.org/W2489553151","https://openalex.org/W2564965427","https://openalex.org/W2808391159","https://openalex.org/W2971518519","https://openalex.org/W2992109079","https://openalex.org/W2999543132","https://openalex.org/W3015483809","https://openalex.org/W3089901835","https://openalex.org/W3090682168","https://openalex.org/W6684191040","https://openalex.org/W6731289271","https://openalex.org/W6772734731"],"related_works":["https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W3147379364","https://openalex.org/W2010878661","https://openalex.org/W2026258298","https://openalex.org/W3204639664","https://openalex.org/W2970836791","https://openalex.org/W2805039731","https://openalex.org/W2989699735","https://openalex.org/W3174643231"],"abstract_inverted_index":{"Dynamic":[0],"gesture":[1,23,94],"recognition":[2,24,57,82,95,127,160],"is":[3,69,97,136],"a":[4,90,126],"typical":[5],"human-computer":[6],"interaction":[7],"method":[8,96,114,148],"owing":[9],"to":[10,36,55,115,168],"its":[11],"great":[12],"potential":[13],"in":[14],"practical":[15],"applications.":[16],"Currently,":[17],"most":[18],"of":[19,49,66,84],"research":[20],"work":[21],"on":[22,28,130,162],"has":[25],"mainly":[26],"focused":[27],"vision-based":[29,37],"and":[30,64,75,123,157],"surface":[31],"electromyography":[32],"(sEMG)":[33],"methods.":[34],"Compared":[35],"methods,":[38],"the":[39,46,60,81,111,146,154,158],"sequential":[40],"sEMG":[41,67,85,101],"signal":[42,68],"can":[43,165],"directly":[44],"depict":[45],"muscle":[47,73],"activity":[48],"different":[50,163],"gestures":[51,164],"which":[52],"could":[53,149],"lead":[54],"higher":[56],"efficiency.":[58],"However,":[59],"effective":[61],"feature":[62],"design":[63],"selection":[65],"still":[70],"complicated":[71],"since":[72],"fatigue":[74],"small":[76],"electrode":[77],"displacement":[78],"will":[79],"affect":[80],"precision":[83],"signals.":[86],"In":[87],"this":[88],"paper,":[89],"novel":[91],"end-to-end":[92],"dynamic":[93],"developed.":[98],"The":[99],"raw":[100],"signals":[102],"are":[103],"converted":[104],"into":[105],"an":[106],"image":[107,141],"form":[108],"by":[109],"using":[110],"time-frequency":[112,140],"transformation":[113],"obtain":[116],"more":[117],"comprehensive":[118],"information":[119],"for":[120,138],"model":[121,128,135],"training":[122],"test.":[124],"And":[125],"based":[129],"Convolutional":[131],"Neural":[132],"Network":[133],"(CNN)":[134],"built":[137],"high-precision":[139],"recognition.":[142],"Experiments":[143],"indicate":[144],"that":[145],"proposed":[147],"acquire":[150],"distinguishing":[151],"features":[152],"from":[153],"pre-prossed":[155],"images":[156],"overall":[159],"accuracy":[161],"reach":[166],"up":[167],"98.3%.":[169]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
