{"id":"https://openalex.org/W4312234127","doi":"https://doi.org/10.1109/biorob52689.2022.9925498","title":"Dynamic Finger Task Identification Using Electromyography","display_name":"Dynamic Finger Task Identification Using Electromyography","publication_year":2022,"publication_date":"2022-08-21","ids":{"openalex":"https://openalex.org/W4312234127","doi":"https://doi.org/10.1109/biorob52689.2022.9925498"},"language":"en","primary_location":{"id":"doi:10.1109/biorob52689.2022.9925498","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biorob52689.2022.9925498","pdf_url":null,"source":{"id":"https://openalex.org/S4363608367","display_name":"2022 9th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob)","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":"2022 9th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob)","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/A5055075956","display_name":"Paria Esmatloo","orcid":"https://orcid.org/0000-0001-8572-0733"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Paria Esmatloo","raw_affiliation_strings":["The University of Texas at Austin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089568262","display_name":"Keya Ghonasgi","orcid":"https://orcid.org/0000-0002-8212-6808"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Keya Ghonasgi","raw_affiliation_strings":["The University of Texas at Austin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084876707","display_name":"Raymond E. King","orcid":null},"institutions":[{"id":"https://openalex.org/I4210128585","display_name":"META Health","ror":"https://ror.org/035h67p10","country_code":"US","type":"other","lineage":["https://openalex.org/I4210128585"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Raymond King","raw_affiliation_strings":["Meta Reality Labs"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta Reality Labs","institution_ids":["https://openalex.org/I4210128585"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041011551","display_name":"Ashish D. Deshpande","orcid":"https://orcid.org/0000-0002-4152-5933"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ashish D. Deshpande","raw_affiliation_strings":["The University of Texas at Austin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9582,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.73481326,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"13","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":0.9976999759674072,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9965000152587891,"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":0.7968608140945435},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7515771389007568},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.6941933631896973},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5566057562828064},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5323249101638794},{"id":"https://openalex.org/keywords/chaining","display_name":"Chaining","score":0.4894329607486725},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.47353431582450867},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.47255370020866394},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.46664077043533325},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4355437159538269},{"id":"https://openalex.org/keywords/electromyography","display_name":"Electromyography","score":0.4345381557941437},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.42909735441207886},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.4157543182373047},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41429126262664795},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38618072867393494},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15436479449272156}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7968608140945435},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7515771389007568},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.6941933631896973},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5566057562828064},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5323249101638794},{"id":"https://openalex.org/C49020025","wikidata":"https://www.wikidata.org/wiki/Q1059099","display_name":"Chaining","level":2,"score":0.4894329607486725},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.47353431582450867},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.47255370020866394},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.46664077043533325},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4355437159538269},{"id":"https://openalex.org/C2777515770","wikidata":"https://www.wikidata.org/wiki/Q507369","display_name":"Electromyography","level":2,"score":0.4345381557941437},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.42909735441207886},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.4157543182373047},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41429126262664795},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38618072867393494},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15436479449272156},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/biorob52689.2022.9925498","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biorob52689.2022.9925498","pdf_url":null,"source":{"id":"https://openalex.org/S4363608367","display_name":"2022 9th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob)","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":"2022 9th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W61707987","https://openalex.org/W2071095291","https://openalex.org/W2086905094","https://openalex.org/W2096553993","https://openalex.org/W2108225567","https://openalex.org/W2146409459","https://openalex.org/W2332610888","https://openalex.org/W2411306069","https://openalex.org/W2555541061","https://openalex.org/W2886903801","https://openalex.org/W2921973408","https://openalex.org/W2957121425","https://openalex.org/W2964900212","https://openalex.org/W3119298694","https://openalex.org/W3126426351","https://openalex.org/W3157218934","https://openalex.org/W4200062729","https://openalex.org/W4200162272","https://openalex.org/W4205357615","https://openalex.org/W6668193743","https://openalex.org/W6714895015"],"related_works":["https://openalex.org/W2139508594","https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W4312416068","https://openalex.org/W3147379364","https://openalex.org/W2010878661","https://openalex.org/W2026258298","https://openalex.org/W3204639664","https://openalex.org/W2970836791","https://openalex.org/W2805039731"],"abstract_inverted_index":{"As":[0],"high-fidelity":[1],"wearable":[2,29],"sensing":[3,30],"technologies":[4],"become":[5],"available":[6],"for":[7,64,151,159,216,259],"control":[8],"of":[9,87,110,137,194,231,256],"physical":[10],"devices":[11],"and":[12,89,155,189,225,251],"virtual":[13],"environments,":[14],"human-machine":[15],"interaction":[16],"(HMI)":[17],"is":[18,27,123,174,239,252],"becoming":[19],"ubiquitous":[20],"in":[21],"our":[22,169,182],"daily":[23],"lives.":[24],"Electromyography":[25],"(EMG)":[26],"a":[28,99,103,108,117,130,191,247],"modality":[31],"that":[32,78,114,168],"directly":[33],"observes":[34],"wearer":[35],"intention":[36],"by":[37],"recording":[38],"muscle":[39],"activations.":[40],"In":[41],"this":[42,157],"paper,":[43],"we":[44],"propose":[45],"to":[46,50,91,125,176,205,241],"use":[47],"EMG":[48,112,235],"signals":[49,113],"robustly":[51,115,206],"identify":[52],"dynamic":[53,74,81,119,138,243,260],"task":[54,139,170,210,214,261],"performance.":[55],"EMG-based":[56],"methods":[57,77],"have":[58],"been":[59],"used":[60,124,150,204],"with":[61,73,134,162,185],"high":[62,145],"success":[63,146],"static":[65],"gesture":[66],"recognition,":[67],"but":[68],"do":[69],"not":[70],"fare":[71],"well":[72],"tasks.":[75],"The":[76,141,237],"tackle":[79],"the":[80,135,152,199,208,212,221,232,254],"case":[82],"rely":[83],"on":[84,102],"large":[85],"amounts":[86],"data":[88,133],"fail":[90],"maintain":[92],"robustness":[93,184],"against":[94],"unexpected":[95,186,242],"movements.":[96],"We":[97,179],"present":[98],"method":[100,173,201,238],"based":[101],"single":[104,131],"feature":[105,122],"extracted":[106],"from":[107],"set":[109],"time-series":[111],"captures":[116],"given":[118,209,220],"task.":[120],"This":[121,165],"train":[126],"an":[127],"algorithm":[128,143,224],"using":[129],"subject's":[132,234],"goal":[136],"identification.":[140,197],"trained":[142,223],"has":[144],"rate":[147,193],"(96%)":[148],"when":[149],"same":[153],"subject,":[154],"maintains":[156],"accuracy":[158],"new":[160,218,233],"subjects":[161],"minimal":[163],"calibration.":[164],"consistency":[166],"demonstrates":[167],"signature":[171],"identification":[172,262],"agnostic":[175],"subject-specific":[177],"variability.":[178],"further":[180],"validate":[181],"method's":[183],"non-target":[187],"tasks":[188],"observe":[190],"low":[192],"false":[195],"positive":[196],"Thus,":[198],"proposed":[200],"can":[202],"be":[203],"detect":[207],"under":[211],"prescribed":[213],"condition":[215],"any":[217],"subject":[219],"initially":[222],"as":[226,228],"few":[227],"two":[229],"repetitions":[230],"signals.":[236],"robust":[240],"behavior,":[244],"requires":[245],"only":[246],"small":[248],"training":[249],"dataset,":[250],"among":[253],"first":[255],"its":[257],"kind":[258],"problems.":[263]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}