{"id":"https://openalex.org/W4372348108","doi":"https://doi.org/10.1109/icassp49357.2023.10096192","title":"HYDRA-HGR: A Hybrid Transformer-Based Architecture for Fusion of Macroscopic and Microscopic Neural Drive Information","display_name":"HYDRA-HGR: A Hybrid Transformer-Based Architecture for Fusion of Macroscopic and Microscopic Neural Drive Information","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372348108","doi":"https://doi.org/10.1109/icassp49357.2023.10096192"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10096192","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10096192","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5065964876","display_name":"Mansooreh Montazerin","orcid":null},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Mansooreh Montazerin","raw_affiliation_strings":["Concordia University,Electrical and Computer Engineering,Montreal,Canada","Electrical and Computer Engineering, Concordia University, Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"Concordia University,Electrical and Computer Engineering,Montreal,Canada","institution_ids":["https://openalex.org/I60158472"]},{"raw_affiliation_string":"Electrical and Computer Engineering, Concordia University, Montreal, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045542279","display_name":"Elahe Rahimian","orcid":null},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Elahe Rahimian","raw_affiliation_strings":["Concordia Institute of Information Systems Engineering (CIISE),Montreal,Canada","Concordia Institute of Information Systems Engineering (CIISE), Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"Concordia Institute of Information Systems Engineering (CIISE),Montreal,Canada","institution_ids":["https://openalex.org/I60158472"]},{"raw_affiliation_string":"Concordia Institute of Information Systems Engineering (CIISE), Montreal, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089551127","display_name":"Farnoosh Naderkhani","orcid":"https://orcid.org/0000-0003-1808-4073"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Farnoosh Naderkhani","raw_affiliation_strings":["Concordia Institute of Information Systems Engineering (CIISE),Montreal,Canada","Concordia Institute of Information Systems Engineering (CIISE), Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"Concordia Institute of Information Systems Engineering (CIISE),Montreal,Canada","institution_ids":["https://openalex.org/I60158472"]},{"raw_affiliation_string":"Concordia Institute of Information Systems Engineering (CIISE), Montreal, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057991229","display_name":"S. Farokh Atashzar","orcid":"https://orcid.org/0000-0001-8495-8440"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Farokh Atashzar","raw_affiliation_strings":["New York University (NYU),New York,NY,USA,10003"],"affiliations":[{"raw_affiliation_string":"New York University (NYU),New York,NY,USA,10003","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019852514","display_name":"Hamid Alinejad\u2010Rokny","orcid":"https://orcid.org/0000-0002-2189-9153"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Hamid Alinejad-Rokny","raw_affiliation_strings":["The Graduate School of Biomedical Engineering,UNSW SYDNEY,Sydney,NSW,Australia,2052"],"affiliations":[{"raw_affiliation_string":"The Graduate School of Biomedical Engineering,UNSW SYDNEY,Sydney,NSW,Australia,2052","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058253407","display_name":"Arash Mohammadi","orcid":"https://orcid.org/0000-0003-1972-7923"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Arash Mohammadi","raw_affiliation_strings":["Concordia Institute of Information Systems Engineering (CIISE),Montreal,Canada","Concordia Institute of Information Systems Engineering (CIISE), Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"Concordia Institute of Information Systems Engineering (CIISE),Montreal,Canada","institution_ids":["https://openalex.org/I60158472"]},{"raw_affiliation_string":"Concordia Institute of Information Systems Engineering (CIISE), Montreal, Canada","institution_ids":["https://openalex.org/I60158472"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5065964876"],"corresponding_institution_ids":["https://openalex.org/I60158472"],"apc_list":null,"apc_paid":null,"fwci":0.6743,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.64155925,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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/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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9977999925613403,"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":0.6779026985168457},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5756441354751587},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.560621976852417},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4929945170879364},{"id":"https://openalex.org/keywords/lernaean-hydra","display_name":"Lernaean Hydra","score":0.48722901940345764},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4606070816516876},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.457597553730011},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4250858724117279},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.21099692583084106},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1704787015914917},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.09069982171058655}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6779026985168457},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5756441354751587},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.560621976852417},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4929945170879364},{"id":"https://openalex.org/C34781881","wikidata":"https://www.wikidata.org/wiki/Q170379","display_name":"Lernaean Hydra","level":2,"score":0.48722901940345764},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4606070816516876},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.457597553730011},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4250858724117279},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.21099692583084106},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1704787015914917},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.09069982171058655},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C95444343","wikidata":"https://www.wikidata.org/wiki/Q7141","display_name":"Cell biology","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10096192","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10096192","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1503680843","https://openalex.org/W1532495382","https://openalex.org/W2004879773","https://openalex.org/W2019889305","https://openalex.org/W2034255374","https://openalex.org/W2076943262","https://openalex.org/W2099019403","https://openalex.org/W2290981976","https://openalex.org/W2555541061","https://openalex.org/W2587122088","https://openalex.org/W2765431510","https://openalex.org/W2805167915","https://openalex.org/W2896457183","https://openalex.org/W2898716605","https://openalex.org/W2935727652","https://openalex.org/W2966907001","https://openalex.org/W2969958495","https://openalex.org/W3001540518","https://openalex.org/W3015258288","https://openalex.org/W3016127821","https://openalex.org/W3038211132","https://openalex.org/W3094502228","https://openalex.org/W3130417799","https://openalex.org/W3207526834","https://openalex.org/W4205316770","https://openalex.org/W4226362595","https://openalex.org/W4286212803","https://openalex.org/W4295436641","https://openalex.org/W4300989551","https://openalex.org/W4301393525","https://openalex.org/W4385245566","https://openalex.org/W6739901393","https://openalex.org/W6755207826","https://openalex.org/W6784333009"],"related_works":["https://openalex.org/W2601157893","https://openalex.org/W2373006798","https://openalex.org/W2131735617","https://openalex.org/W2056912418","https://openalex.org/W2123759770","https://openalex.org/W2033213769","https://openalex.org/W4312376745","https://openalex.org/W2136016640","https://openalex.org/W2049538278","https://openalex.org/W2886173746"],"abstract_inverted_index":{"Development":[0],"of":[1,11,20,31,37,66,76,93,133,175,183,236,254],"advance":[2],"surface":[3],"Electromyogram":[4],"(sEMG)-based":[5],"Human-Machine":[6],"Interface":[7],"(HMI)":[8],"systems":[9],"is":[10,104,122,157,169,245],"paramount":[12],"importance":[13],"to":[14,83,91],"pave":[15],"the":[16,28,60,118,161,166,172,176,209,239,255],"way":[17],"towards":[18],"emergence":[19],"futuristic":[21],"Cyber-Physical-Human":[22],"(CPH)":[23],"worlds.":[24],"In":[25,113],"this":[26,114],"context,":[27],"main":[29],"focus":[30],"recent":[32],"literature":[33],"was":[34],"on":[35,79,160],"development":[36],"different":[38],"Deep":[39],"Neural":[40],"Network":[41],"(DNN)-based":[42],"architectures":[43,146],"that":[44,128,222,253],"perform":[45],"Hand":[46],"Gesture":[47],"Recognition":[48],"(HGR)":[49],"at":[50,101,188],"a":[51,74,123,131,197,215],"macroscopic":[52,189],"level":[53,103],"(i.e.,":[54],"directly":[55,159],"from":[56],"sEMG":[57,68,80,94],"signals).":[58],"At":[59],"same":[61],"time,":[62],"advancements":[63],"in":[64,73],"acquisition":[65],"High-Density":[67],"signals":[69],"(HD-sEMG)":[70],"have":[71],"resulted":[72],"surge":[75],"significant":[77],"interest":[78],"decomposition":[81,95],"techniques":[82],"extract":[84],"microscopic":[85,102,191],"neural":[86],"drive":[87],"information.":[88],"However,":[89],"due":[90],"complexities":[92],"and":[96,135,151,190,220,248,257],"added":[97],"computational":[98],"overhead,":[99],"HGR":[100,127],"less":[105],"explored":[106],"than":[107,252],"its":[108,139,226],"aforementioned":[109],"macroscopic-level,":[110],"DNN-based":[111],"counterparts.":[112,228],"regard,":[115],"we":[116],"propose":[117],"HYDRA-HGR":[119,212,231],"framework,":[120],"which":[121,244],"hybrid":[124,211],"model":[125],"for":[126,203,238],"simultaneously":[129],"extracts":[130],"set":[132],"temporal":[134],"spatial":[136],"features":[137,187],"through":[138,214],"two":[140],"independent":[141],"Vision":[142],"Transformer":[143],"(ViT)-based":[144],"parallel":[145],"(the":[147],"so":[148],"called":[149],"Macro":[150,155,256],"Micro":[152,167,258],"paths).":[153],"The":[154,229],"Path":[156],"trained":[158],"pre-processed":[162],"HD-sEMG":[163,218],"signals,":[164],"while":[165],"path":[168],"fed":[170],"with":[171],"p-to-p":[173],"values":[174],"extracted":[177],"Motor":[178],"Unit":[179],"Action":[180],"Potentials":[181],"(MUAPs)":[182],"each":[184],"source.":[185],"Extracted":[186],"levels":[192],"are":[193],"then":[194],"coupled":[195],"via":[196],"Fully":[198],"Connected":[199],"(FC)":[200],"fusion":[201],"layer":[202],"final":[204],"gesture":[205],"classification.":[206],"We":[207],"evaluate":[208],"proposed":[210,230],"framework":[213,232],"recently":[216],"released":[217],"dataset,":[219],"show":[221],"it":[223],"significantly":[224],"outperforms":[225],"stand-alone":[227],"achieves":[233],"average":[234],"accuracy":[235],"94.86%":[237],"250":[240],"ms":[241],"window":[242],"size,":[243],"5.52":[246],"%":[247,250],"8.22":[249],"higher":[251],"paths,":[259],"respectively.":[260]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
