{"id":"https://openalex.org/W4390970569","doi":"https://doi.org/10.1109/bibm58861.2023.10385891","title":"A Multichannel CNN-GRU Hybrid Architecture for sEMG Gesture Recognition","display_name":"A Multichannel CNN-GRU Hybrid Architecture for sEMG Gesture Recognition","publication_year":2023,"publication_date":"2023-12-05","ids":{"openalex":"https://openalex.org/W4390970569","doi":"https://doi.org/10.1109/bibm58861.2023.10385891"},"language":"en","primary_location":{"id":"doi:10.1109/bibm58861.2023.10385891","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm58861.2023.10385891","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5113080367","display_name":"Shouliang Song","orcid":null},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shouliang Song","raw_affiliation_strings":["Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan),Jinan,China,250353","School of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan),Jinan,China,250353","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]},{"raw_affiliation_string":"School of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058696702","display_name":"Anming Dong","orcid":"https://orcid.org/0000-0001-7470-5159"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anming Dong","raw_affiliation_strings":["Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan),Jinan,China,250353","School of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China","Big Data Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan),Jinan,China,250353","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]},{"raw_affiliation_string":"School of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]},{"raw_affiliation_string":"Big Data Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China","institution_ids":["https://openalex.org/I4210142748","https://openalex.org/I152269853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100624236","display_name":"Jiguo Yu","orcid":"https://orcid.org/0000-0001-6451-1158"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiguo Yu","raw_affiliation_strings":["Qilu University of Technology (Shandong Academy of Sciences),Big Data Institute,Jinan,China,250353","Shandong Provincial Key Laboratory of Computer Networks, Shandong Fundamental Research Center for Computer Science, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qilu University of Technology (Shandong Academy of Sciences),Big Data Institute,Jinan,China,250353","institution_ids":["https://openalex.org/I4210142748","https://openalex.org/I152269853"]},{"raw_affiliation_string":"Shandong Provincial Key Laboratory of Computer Networks, Shandong Fundamental Research Center for Computer Science, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103124072","display_name":"Yubing Han","orcid":"https://orcid.org/0000-0003-3712-0447"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yubing Han","raw_affiliation_strings":["Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan),Jinan,China,250353","School of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China","Big Data Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan),Jinan,China,250353","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]},{"raw_affiliation_string":"School of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]},{"raw_affiliation_string":"Big Data Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China","institution_ids":["https://openalex.org/I4210142748","https://openalex.org/I152269853"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054061159","display_name":"You Zhou","orcid":"https://orcid.org/0000-0001-6527-2208"},"institutions":[{"id":"https://openalex.org/I4210160779","display_name":"Institute of New Materials","ror":"https://ror.org/04s8x9847","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210142748","https://openalex.org/I4210160779"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"You Zhou","raw_affiliation_strings":["Shandong Haikan New Media Research Institute Co., Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong Haikan New Media Research Institute Co., Ltd","institution_ids":["https://openalex.org/I4210160779"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0972,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.41348583,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"4132","last_page":"4139"},"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":0.9972000122070312,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9934999942779541,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7902549505233765},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.785849928855896},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7786828279495239},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.7427566051483154},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7034569382667542},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6991099715232849},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6177763342857361},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5238028764724731},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5108785033226013},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4690549671649933},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.46685224771499634},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4367668032646179},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.4182014465332031},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39269065856933594}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7902549505233765},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.785849928855896},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7786828279495239},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.7427566051483154},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7034569382667542},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6991099715232849},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6177763342857361},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5238028764724731},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5108785033226013},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4690549671649933},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.46685224771499634},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4367668032646179},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.4182014465332031},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39269065856933594},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm58861.2023.10385891","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm58861.2023.10385891","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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"},{"id":"https://openalex.org/F4320328720","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W2013427553","https://openalex.org/W2023494032","https://openalex.org/W2075528422","https://openalex.org/W2137502844","https://openalex.org/W2167170208","https://openalex.org/W2243789297","https://openalex.org/W2765746460","https://openalex.org/W2770962117","https://openalex.org/W2807631444","https://openalex.org/W2887119478","https://openalex.org/W2897580909","https://openalex.org/W2912302853","https://openalex.org/W2948836927","https://openalex.org/W2958266761","https://openalex.org/W2962879438","https://openalex.org/W2963608065","https://openalex.org/W2991240488","https://openalex.org/W2995086119","https://openalex.org/W3008159994","https://openalex.org/W3106884676","https://openalex.org/W4213439147","https://openalex.org/W4226057523","https://openalex.org/W4280600921","https://openalex.org/W4285146467","https://openalex.org/W4295436641","https://openalex.org/W4309345624","https://openalex.org/W4364322735","https://openalex.org/W4366310739","https://openalex.org/W4375929074"],"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":{"Surface":[0],"electromyography":[1],"(sEMG)":[2],"signal":[3,8,170],"is":[4,71,152,179,193,236],"a":[5,80,90,105,123,147,156],"physiological":[6],"electrical":[7],"produced":[9],"by":[10,99,154],"muscle":[11],"contraction.":[12],"Different":[13],"gestures":[14],"can":[15,172],"be":[16,173],"effectively":[17],"recognized":[18],"from":[19],"the":[20,23,64,101,117,128,132,139,163,165,176,185,190,197,202,207,211,219,229,233,244],"characteristics":[21],"of":[22,48,67,82,138,168,201,210,243],"sEMG":[24,36,49,68],"signal.":[25],"Currently,":[26],"convolutional":[27],"neural":[28],"networks":[29],"(CNNs)":[30],"have":[31],"been":[32],"widely":[33],"used":[34],"in":[35,44,57,63,122,131,188],"gesture":[37,75,85,97],"recognition":[38,86,98,208],"systems":[39],"due":[40],"to":[41,115,126,146,181,195],"their":[42],"capabilities":[43],"acquiring":[45],"spatial":[46,129],"features":[47,130,167],"signals.":[50],"However,":[51],"these":[52],"classical":[53,230],"CNNs":[54,103,114,141],"are":[55,142],"inefficient":[56],"extracting":[58,149],"temporal":[59,166],"correlation":[60],"that":[61,206,242],"resides":[62],"time":[65],"serials":[66],"signals,":[69],"which":[70,151,192],"definitely":[72],"important":[73],"for":[74,96],"recognition.":[76],"To":[77],"overcome":[78],"such":[79],"drawback":[81],"traditional":[83],"CNN-based":[84],"methods,":[87],"we":[88,111],"propose":[89],"multichannel":[91,102,119],"hybrid":[92],"deep":[93],"learning":[94],"model":[95],"combining":[100],"with":[104,158,228],"gated":[106],"recurrent":[107],"unit":[108],"(GRU).":[109],"Specifically,":[110],"use":[112],"multiple":[113,140],"preprocess":[116],"original":[118],"EMG":[120],"signals":[121],"one-by-one":[124],"manner":[125],"obtain":[127],"current":[133],"observing":[134],"window.":[135],"The":[136],"outputs":[137],"concatenated":[143],"and":[144,199,216,222,238],"fed":[145],"temporal-feature":[148],"module,":[150],"designed":[153],"cascading":[155],"GRU":[157],"an":[159],"attention":[160,177],"mechanism.":[161],"Through":[162],"GRU,":[164],"successive":[169],"frames":[171],"established,":[174],"while":[175],"mechanism":[178],"introduced":[180],"further":[182],"focus":[183],"on":[184,218],"key":[186],"information":[187],"recognizing":[189],"gestures,":[191],"beneficial":[194],"improve":[196],"robustness":[198],"accuracy":[200,209],"model.":[203],"Experiments":[204],"show":[205],"proposed":[212],"method":[213],"reaches":[214],"97.6%":[215],"96.7%":[217],"Ninapro":[220,223],"DB2":[221],"DB5":[224],"datasets,":[225],"respectively.":[226,248],"Compared":[227],"CNN":[231,246],"method,":[232],"performance":[234],"improvement":[235],"2.9%":[237],"xx%":[239],"higher":[240],"than":[241],"traditona":[245],"model,":[247]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}