{"id":"https://openalex.org/W3180620879","doi":"https://doi.org/10.1109/lra.2021.3091698","title":"Temporal Dilation of Deep LSTM for Agile Decoding of sEMG: Application in Prediction of Upper-Limb Motor Intention in NeuroRobotics","display_name":"Temporal Dilation of Deep LSTM for Agile Decoding of sEMG: Application in Prediction of Upper-Limb Motor Intention in NeuroRobotics","publication_year":2021,"publication_date":"2021-07-12","ids":{"openalex":"https://openalex.org/W3180620879","doi":"https://doi.org/10.1109/lra.2021.3091698","mag":"3180620879"},"language":"en","primary_location":{"id":"doi:10.1109/lra.2021.3091698","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2021.3091698","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Robotics and Automation Letters","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/A5065994238","display_name":"Tianyun Sun","orcid":"https://orcid.org/0000-0003-3648-226X"},"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":true,"raw_author_name":"Tianyun Sun","raw_affiliation_strings":["Department of Electrical and Computer Engineering, New York University (NYU), New York, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, New York University (NYU), New York, NY, USA","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101988507","display_name":"Qin Hu","orcid":"https://orcid.org/0000-0001-6741-3916"},"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":"Qin Hu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, New York University (NYU), New York, NY, USA"],"raw_orcid":"https://orcid.org/0000-0001-6741-3916","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, New York University (NYU), New York, NY, USA","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091844998","display_name":"Paras Gulati","orcid":"https://orcid.org/0000-0002-5952-3792"},"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":"Paras Gulati","raw_affiliation_strings":["Department of Electrical and Computer Engineering, New York University (NYU), New York, NY, USA"],"raw_orcid":"https://orcid.org/0000-0002-5952-3792","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, New York University (NYU), New York, NY, USA","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"last","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":["Department of Electrical and Computer Engineering, New York University (NYU), New York, NY, USA","Department of Mechanical and Aerospace Engineering, New York University, New York, NY, USA","NYU Center for Urban Science and Progress (CUSP), New York University Wireless, Brooklyn, NY, USA"],"raw_orcid":"https://orcid.org/0000-0001-8495-8440","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, New York University (NYU), New York, NY, USA","institution_ids":["https://openalex.org/I57206974"]},{"raw_affiliation_string":"Department of Mechanical and Aerospace Engineering, New York University, New York, NY, USA","institution_ids":["https://openalex.org/I57206974"]},{"raw_affiliation_string":"NYU Center for Urban Science and Progress (CUSP), New York University Wireless, Brooklyn, NY, USA","institution_ids":["https://openalex.org/I57206974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5065994238"],"corresponding_institution_ids":["https://openalex.org/I57206974"],"apc_list":null,"apc_paid":null,"fwci":2.716,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.90307431,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"6","issue":"4","first_page":"6212","last_page":"6219"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":1.0,"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":1.0,"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":0.9987000226974487,"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular 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/computer-science","display_name":"Computer science","score":0.7730334997177124},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7356980443000793},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6321532726287842},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.6165014505386353},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.45590490102767944},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4556886851787567},{"id":"https://openalex.org/keywords/dilation","display_name":"Dilation (metric space)","score":0.4548800587654114},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.4392934739589691},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.41059309244155884},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3663196265697479}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7730334997177124},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7356980443000793},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6321532726287842},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.6165014505386353},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.45590490102767944},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4556886851787567},{"id":"https://openalex.org/C2780757906","wikidata":"https://www.wikidata.org/wiki/Q5276676","display_name":"Dilation (metric space)","level":2,"score":0.4548800587654114},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.4392934739589691},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.41059309244155884},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3663196265697479},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lra.2021.3091698","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lra.2021.3091698","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Robotics and Automation Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W1530367432","https://openalex.org/W1971702085","https://openalex.org/W1999019264","https://openalex.org/W2002161214","https://openalex.org/W2044628302","https://openalex.org/W2045036720","https://openalex.org/W2051230789","https://openalex.org/W2054427316","https://openalex.org/W2054628872","https://openalex.org/W2063755974","https://openalex.org/W2065327112","https://openalex.org/W2082462711","https://openalex.org/W2085800037","https://openalex.org/W2089884466","https://openalex.org/W2104544700","https://openalex.org/W2106526692","https://openalex.org/W2119008936","https://openalex.org/W2154553161","https://openalex.org/W2165619603","https://openalex.org/W2169931829","https://openalex.org/W2516710120","https://openalex.org/W2519091744","https://openalex.org/W2555541061","https://openalex.org/W2560704029","https://openalex.org/W2564965427","https://openalex.org/W2583908467","https://openalex.org/W2587122088","https://openalex.org/W2589747988","https://openalex.org/W2617068275","https://openalex.org/W2750814024","https://openalex.org/W2770962117","https://openalex.org/W2771579111","https://openalex.org/W2773363539","https://openalex.org/W2775447708","https://openalex.org/W2796589614","https://openalex.org/W2810248467","https://openalex.org/W2889562875","https://openalex.org/W2898716605","https://openalex.org/W2899214097","https://openalex.org/W2901183903","https://openalex.org/W2908762968","https://openalex.org/W2910545810","https://openalex.org/W2914078214","https://openalex.org/W2945822927","https://openalex.org/W2946313603","https://openalex.org/W2946938118","https://openalex.org/W2962879438","https://openalex.org/W2963241221","https://openalex.org/W2964773326","https://openalex.org/W2977057839","https://openalex.org/W2983485493","https://openalex.org/W2990110246","https://openalex.org/W2991257032","https://openalex.org/W2997516327","https://openalex.org/W3033182043","https://openalex.org/W3081630014","https://openalex.org/W3133749743","https://openalex.org/W3133817630","https://openalex.org/W4253064634","https://openalex.org/W6631802301","https://openalex.org/W6731289271","https://openalex.org/W6732920691","https://openalex.org/W6743485176","https://openalex.org/W6769546971","https://openalex.org/W6791154489"],"related_works":["https://openalex.org/W1574414179","https://openalex.org/W4362597605","https://openalex.org/W4297676672","https://openalex.org/W4281702477","https://openalex.org/W2922073769","https://openalex.org/W4378510483","https://openalex.org/W2490526372","https://openalex.org/W4376166922","https://openalex.org/W4221142204","https://openalex.org/W3099765033"],"abstract_inverted_index":{"The":[0],"spectrotemporal":[1],"information":[2],"content":[3],"of":[4,24,39,47,55,88,92,120,140,151,181,200],"surface":[5],"electromyography":[6],"has":[7,41],"shown":[8,70],"strong":[9],"potential":[10],"in":[11,31,116,155,179],"predicting":[12],"the":[13,18,45,82,85,100,104,110,117,138,149,152,168,175,188,193,197],"intended":[14],"motor":[15],"command.":[16],"During":[17],"last":[19],"decade,":[20],"with":[21,29,51,196],"accelerated":[22],"exploitation":[23],"powerful":[25],"deep-learning":[26,74,177],"techniques":[27,178],"aligned":[28],"advancements":[30],"active":[32],"prostheses":[33,50],"and":[34,65,94,102,132,145,183,203],"neurorobots,":[35],"a":[36,121],"great":[37],"deal":[38],"interest":[40],"been":[42,79],"drawn":[43],"to":[44,157],"development":[46],"intelligent":[48],"myoelectric":[49],"an":[52],"ultimate":[53,198],"resolution":[54],"upper-limb":[56],"gestures":[57],"prediction.":[58],"Recent":[59],"research":[60],"involves":[61],"Deep":[62],"CNNs,":[63],"RNNs,":[64],"hybrid":[66,122],"frameworks,":[67],"which":[68,98],"have":[69,76],"promising":[71],"results.":[72],"However,":[73],"models":[75],"almost":[77],"always":[78],"challenged":[80],"by":[81],"structural":[83],"complexity,":[84],"large":[86],"number":[87],"trainable":[89],"parameters,":[90],"concerns":[91],"overfitting,":[93],"prolonged":[95],"training":[96,133,189],"time,":[97,112],"complicate":[99],"practicality":[101,202],"limit":[103],"outcomes.":[105],"In":[106],"this":[107,164],"letter,":[108],"for":[109,125,206],"first":[111],"we":[113],"propose":[114],"temporal-dilation":[115],"LSTM":[118,171],"module":[119],"Deepnet":[123],"model":[124,172],"sEMG-based":[126],"gesture":[127],"detection,":[128],"hypothesizing":[129],"improved":[130],"accuracy":[131],"agility.":[134],"We":[135,142],"also":[136],"analyze":[137],"effect":[139],"dilation-aggressiveness.":[141],"conduct":[143],"systematic":[144],"statistical":[146],"analysis":[147],"on":[148],"efficacy":[150],"proposed":[153,169],"approach":[154],"comparison":[156],"recent":[158,176],"literature,":[159],"including":[160],"our":[161],"previous":[162],"work.":[163],"letter":[165],"shows":[166],"that":[167],"temporally-dilated":[170],"wins":[173],"over":[174],"terms":[180],"accuracy,":[182],"more":[184],"significantly,":[185],"it":[186],"reduces":[187],"time":[190],"while":[191],"increasing":[192],"convergence":[194],"speed,":[195],"goal":[199],"maximizing":[201],"translational":[204],"value":[205],"neurorobotic":[207],"systems.":[208]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":3}],"updated_date":"2026-05-21T09:19:25.381259","created_date":"2025-10-10T00:00:00"}