{"id":"https://openalex.org/W4311191152","doi":"https://doi.org/10.3233/jifs-222985","title":"Myoelectric human computer interaction using CNN-LSTM neural network for dynamic hand gesture recognition","display_name":"Myoelectric human computer interaction using CNN-LSTM neural network for dynamic hand gesture recognition","publication_year":2022,"publication_date":"2022-11-30","ids":{"openalex":"https://openalex.org/W4311191152","doi":"https://doi.org/10.3233/jifs-222985"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-222985","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-222985","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-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/A5091137864","display_name":"Qiyu Li","orcid":"https://orcid.org/0009-0004-5174-9844"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Qiyu Li","raw_affiliation_strings":["Department of Mechanical Engineering, Texas A&M University, College Station, Texas","Department of Mechanical Engineering, Texas A&M University, College Station, Texas"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Texas A&M University, College Station, Texas","institution_ids":["https://openalex.org/I91045830"]},{"raw_affiliation_string":"Department of Mechanical Engineering, Texas A&M University, College Station, Texas","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017696249","display_name":"Reza Langari","orcid":"https://orcid.org/0000-0001-7900-5186"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Reza Langari","raw_affiliation_strings":["Department of Engineering Technology and Industrial Distribution, Texas A&M University, College Station, Texas","Department of Mechanical Engineering, Texas A&M University, College Station, Texas","Department of Mechanical Engineering, Texas A&M University, College Station, Texas","Department of Engineering Technology and Industrial Distribution, Texas A&M University, College Station, Texas"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering Technology and Industrial Distribution, Texas A&M University, College Station, Texas","institution_ids":["https://openalex.org/I91045830"]},{"raw_affiliation_string":"Department of Mechanical Engineering, Texas A&M University, College Station, Texas","institution_ids":["https://openalex.org/I91045830"]},{"raw_affiliation_string":"Department of Mechanical Engineering, Texas A&M University, College Station, Texas","institution_ids":["https://openalex.org/I91045830"]},{"raw_affiliation_string":"Department of Engineering Technology and Industrial Distribution, Texas A&M University, College Station, Texas","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5091137864"],"corresponding_institution_ids":["https://openalex.org/I91045830"],"apc_list":null,"apc_paid":null,"fwci":1.1318,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.80802953,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"44","issue":"3","first_page":"4207","last_page":"4221"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9998999834060669,"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/T10784","display_name":"Muscle activation and electromyography studies","score":0.9991000294685364,"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":0.996999979019165,"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":0.8948254585266113},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.77512526512146},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.7014185190200806},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6596599817276001},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6121634244918823},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5200507044792175},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5028769373893738},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5023593902587891},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4864180088043213},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.457681804895401},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4299320578575134},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3472731113433838},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3212435245513916},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32012683153152466}],"concepts":[{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.8948254585266113},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.77512526512146},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.7014185190200806},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6596599817276001},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6121634244918823},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5200507044792175},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5028769373893738},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5023593902587891},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4864180088043213},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.457681804895401},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4299320578575134},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3472731113433838},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3212435245513916},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32012683153152466},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-222985","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-222985","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W2064675550","https://openalex.org/W2095705004","https://openalex.org/W2168392347","https://openalex.org/W2770962117","https://openalex.org/W2810873927","https://openalex.org/W2811478201","https://openalex.org/W2887712318","https://openalex.org/W2944851425","https://openalex.org/W2972073716","https://openalex.org/W2973104987","https://openalex.org/W2981207549","https://openalex.org/W2983651626","https://openalex.org/W2990405315","https://openalex.org/W2997958396","https://openalex.org/W3000764807","https://openalex.org/W3010195458","https://openalex.org/W3022787740","https://openalex.org/W3024956434","https://openalex.org/W3028461828","https://openalex.org/W3034050230","https://openalex.org/W3034124732","https://openalex.org/W3048749423","https://openalex.org/W3048912752","https://openalex.org/W3051032203","https://openalex.org/W3082864268","https://openalex.org/W3088004292","https://openalex.org/W3104286195","https://openalex.org/W3115684831","https://openalex.org/W3116354295","https://openalex.org/W3174533880"],"related_works":["https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W4312417841","https://openalex.org/W3147379364","https://openalex.org/W2010878661","https://openalex.org/W3193565141","https://openalex.org/W2026258298","https://openalex.org/W3133861977","https://openalex.org/W3204639664","https://openalex.org/W2970836791"],"abstract_inverted_index":{"Human-computer":[0],"interaction(HCI)":[1],"has":[2,185],"broad":[3],"range":[4],"of":[5,36,60,75,102,144,154,164,206,264,278,291],"applications.":[6],"One":[7],"particular":[8],"application":[9],"domain":[10],"is":[11,34,48,64,78,92,151,191,201,224,250,296],"rehabilitation":[12,27],"devices.":[13],"Several":[14,157],"bioelectric":[15,40],"signals":[16,41],"can":[17],"potentially":[18],"be":[19,236],"used":[20,95,111,252],"in":[21,24,29,42,96,126,147,192,196,238],"HCI":[22],"systems":[23],"general":[25],"and":[26],"devices":[28],"particular.":[30],"Surface":[31],"ElectroMyoGraphic(sEMG)":[32],"signal":[33,47,77],"one":[35,143],"the":[37,54,72,86,97,100,138,145,152,162,169,175,178,203,283,288,292],"more":[38,194],"important":[39],"this":[43,76,210],"context.":[44],"The":[45,245,272,298],"sEMG":[46,61,129],"formed":[49],"by":[50,132,135,182],"muscle":[51],"activation":[52],"although":[53],"details":[55],"are":[56,62,110],"rather":[57],"complex.":[58],"Applications":[59],"referred":[63,66],"commonly":[65],"to":[67,79,226,253,258],"as":[68,243],"myoelectric":[69],"control":[70,88,259],"since":[71],"dominant":[73],"use":[74],"activate":[80],"a":[81,212,255,260,275],"device":[82],"even":[83,173],"if":[84,174],"(as":[85],"term":[87],"may":[89],"imply)":[90],"feedback":[91],"not":[93],"always":[94],"process.":[98],"With":[99],"development":[101],"deep":[103,107],"neural":[104,247],"networks,":[105],"various":[106],"learning":[108],"architectures":[109],"for":[112],"sEMG-based":[113],"gesture":[114,149,165,176,189,207,234,294],"recognition":[115,150,190,295],"with":[116,217,268,282],"many":[117],"researchers":[118],"having":[119],"reported":[120],"good":[121],"performance.":[122],"Nevertheless,":[123],"challenges":[124],"remain":[125,304],"accurately":[127],"recognizing":[128],"patterns":[130],"generated":[131],"gestures":[133],"produced":[134],"hand":[136,148],"or":[137,221],"upper":[139],"arm.":[140],"For":[141],"instance":[142],"difficulties":[146],"influence":[153],"limb":[155,170,241],"positions.":[156],"papers":[158],"have":[159],"shown":[160,186],"that":[161,187],"accuracy":[163,290],"classification":[166],"decreases":[167],"when":[168],"position":[171],"changes":[172],"remains":[177],"same.":[179],"Prior":[180],"work":[181],"our":[183],"team":[184],"dynamic":[188,230,233,293],"principle":[193],"reliable":[195],"detecting":[197],"human":[198,256],"intent,":[199],"which":[200],"often":[202],"underlying":[204],"idea":[205],"recognition.":[208],"In":[209,286],"paper,":[211],"Convolutional":[213],"Neural":[214],"Network":[215],"(CNN)":[216],"Long":[218],"Short-Term":[219],"Memory":[220],"LSTM":[222],"(CNN-LSTM)":[223],"proposed":[225,284],"classify":[227],"five":[228,239],"common":[229],"gestures.":[231],"Each":[232],"would":[235],"performed":[237],"different":[240],"positions":[242],"well.":[244],"trained":[246],"network":[248],"model":[249],"then":[251],"enable":[254],"subject":[257],"6":[261],"DoF":[262,270],"(Degree":[263],"Freedom)":[265],"robotic":[266],"arm":[267],"1":[269],"gripper.":[271],"results":[273],"show":[274],"high":[276],"level":[277],"accurate":[279],"performance":[280],"achieved":[281],"approach.":[285],"particular,":[287],"overall":[289],"84.2%.":[297],"accuracies":[299],"vary":[300],"across":[301],"subjects":[302],"but":[303],"at":[305],"approximately":[306],"90%for":[307],"some":[308],"subjects.":[309]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}