{"id":"https://openalex.org/W4391331205","doi":"https://doi.org/10.1109/smc53992.2023.10394268","title":"Deep Reinforcement Learning Based Upper Limb Neuromusculoskeletal Simulator for Modelling Human Motor Control","display_name":"Deep Reinforcement Learning Based Upper Limb Neuromusculoskeletal Simulator for Modelling Human Motor Control","publication_year":2023,"publication_date":"2023-10-01","ids":{"openalex":"https://openalex.org/W4391331205","doi":"https://doi.org/10.1109/smc53992.2023.10394268"},"language":"en","primary_location":{"id":"doi:10.1109/smc53992.2023.10394268","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc53992.2023.10394268","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 Systems, Man, and Cybernetics (SMC)","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/A5018127688","display_name":"Jirui Fu","orcid":"https://orcid.org/0000-0002-3552-9284"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jirui Fu","raw_affiliation_strings":["University of Central Florida,Department of Aerospace and Mechanical Engineering,Orlando,FL,USA,32816"],"affiliations":[{"raw_affiliation_string":"University of Central Florida,Department of Aerospace and Mechanical Engineering,Orlando,FL,USA,32816","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039241858","display_name":"Renoa Choudhury","orcid":"https://orcid.org/0000-0002-6301-3197"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Renoa Choudhury","raw_affiliation_strings":["University of Central Florida,Department of Aerospace and Mechanical Engineering,Orlando,FL,USA,32816"],"affiliations":[{"raw_affiliation_string":"University of Central Florida,Department of Aerospace and Mechanical Engineering,Orlando,FL,USA,32816","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056470088","display_name":"Joon\u2010Hyuk Park","orcid":"https://orcid.org/0000-0001-9038-4981"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joon-Hyuk Park","raw_affiliation_strings":["University of Central Florida,Department of Aerospace and Mechanical Engineering,Orlando,FL,USA,32816"],"affiliations":[{"raw_affiliation_string":"University of Central Florida,Department of Aerospace and Mechanical Engineering,Orlando,FL,USA,32816","institution_ids":["https://openalex.org/I106165777"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5018127688"],"corresponding_institution_ids":["https://openalex.org/I106165777"],"apc_list":null,"apc_paid":null,"fwci":0.5625,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.63166278,"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":"2789","last_page":"2795"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9663000106811523,"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/T10338","display_name":"Advanced Sensor and Energy Harvesting Materials","score":0.9229999780654907,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7351899147033691},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6352545022964478},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.5613507628440857},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2849116325378418}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7351899147033691},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6352545022964478},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.5613507628440857},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2849116325378418}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc53992.2023.10394268","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc53992.2023.10394268","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 Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2022861567","https://openalex.org/W2054857883","https://openalex.org/W2066297424","https://openalex.org/W2070510586","https://openalex.org/W2076024315","https://openalex.org/W2114414717","https://openalex.org/W2145339207","https://openalex.org/W2151073730","https://openalex.org/W2158782408","https://openalex.org/W2736601468","https://openalex.org/W2884696611","https://openalex.org/W2897998082","https://openalex.org/W2963864421","https://openalex.org/W3048846969","https://openalex.org/W3100789280","https://openalex.org/W3135832693","https://openalex.org/W3137335329","https://openalex.org/W3179833101","https://openalex.org/W3205669582","https://openalex.org/W4289792723","https://openalex.org/W4291021223","https://openalex.org/W4291653116","https://openalex.org/W4292863100","https://openalex.org/W4300892751","https://openalex.org/W4307265350","https://openalex.org/W4308206345","https://openalex.org/W4309189403","https://openalex.org/W4385891453","https://openalex.org/W6638018090","https://openalex.org/W6684921986","https://openalex.org/W6741002519","https://openalex.org/W6838807395"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4362501864","https://openalex.org/W4306904969","https://openalex.org/W4380318855","https://openalex.org/W2358668433","https://openalex.org/W2138720691","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2031695474"],"abstract_inverted_index":{"The":[0,15,123],"neuromusculoskeletal":[1,49],"modeling":[2],"and":[3,13,30,51,96,100,136,162],"simulator":[4],"(NMMS)":[5],"have":[6,55],"been":[7],"widely":[8],"utilized":[9],"in":[10],"various":[11],"fields":[12],"applications.":[14],"deep":[16],"reinforcement":[17],"learning":[18,161],"(DRL)":[19],"algorithm":[20],"is":[21],"a":[22,53],"promising":[23],"method":[24],"to":[25,61],"study":[26],"human":[27],"motor":[28],"controls":[29],"movement":[31],"biomechanics":[32],"via":[33],"NMMS":[34,83,129],"without":[35],"experimental":[36],"data.":[37],"However,":[38],"existing":[39],"research":[40],"lacks":[41],"exploration":[42],"of":[43,88,111,149],"the":[44,62,109,118,127,137,143,153,166],"DRL":[45,70],"implementation":[46],"for":[47],"controlling":[48],"simulators,":[50],"only":[52],"few":[54],"presented":[56],"myoelectric":[57,113,139],"control":[58,103,114,140],"systems":[59,115],"applied":[60],"DRL-based":[63,119,128],"NMMS.":[64,122],"In":[65,105],"this":[66],"work,":[67],"an":[68,80],"off-policy":[69],"algorithm,":[71],"Deep":[72],"Deterministic":[73],"Policy":[74],"Gradient":[75],"(DDPG),":[76],"was":[77],"implemented":[78,116],"on":[79,117],"upper":[81,120,132],"limb":[82,121,133],"with":[84],"two":[85],"different":[86],"types":[87,148],"action":[89,150,157,171],"space":[90,158],"-":[91],"direct":[92,167],"muscle":[93,144,168],"activation":[94,145,169],"output":[95,170],"PD-based":[97,154],"internal":[98,155],"model,":[99],"compared":[101],"their":[102],"performance.":[104],"addition,":[106],"we":[107],"evaluated":[108],"performance":[110,164],"proportional":[112,138],"results":[124],"indicate":[125],"that":[126],"can":[130],"execute":[131],"movements":[134],"accurately,":[135],"system":[141],"reduced":[142],"under":[146],"both":[147],"space.":[151,172],"Moreover,":[152],"model":[156],"shows":[159],"better":[160],"error-tracking":[163],"than":[165]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}
