{"id":"https://openalex.org/W2292453255","doi":"https://doi.org/10.1109/robio.2015.7418908","title":"A practical EMG-driven musculoskeletal model for dynamic torque estimation of knee joint","display_name":"A practical EMG-driven musculoskeletal model for dynamic torque estimation of knee joint","publication_year":2015,"publication_date":"2015-12-01","ids":{"openalex":"https://openalex.org/W2292453255","doi":"https://doi.org/10.1109/robio.2015.7418908","mag":"2292453255"},"language":"en","primary_location":{"id":"doi:10.1109/robio.2015.7418908","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2015.7418908","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Robotics and Biomimetics (ROBIO)","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/A5038101201","display_name":"Long Peng","orcid":"https://orcid.org/0000-0003-1012-5109"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Long Peng","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Automation, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Automation, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109333020","display_name":"Zeng\u2010Guang Hou","orcid":"https://orcid.org/0000-0002-1534-5840"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeng-Guang Hou","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Automation, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Automation, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109462399","display_name":"Liang Peng","orcid":"https://orcid.org/0000-0001-6531-7517"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Peng","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Automation, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Automation, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100665273","display_name":"Weiqun Wang","orcid":"https://orcid.org/0000-0001-6981-297X"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei-Qun Wang","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Automation, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Automation, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5038101201"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"],"apc_list":null,"apc_paid":null,"fwci":0.3541,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.63878095,"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":"1036","last_page":"1040"},"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/T11023","display_name":"Prosthetics and Rehabilitation Robotics","score":0.996399998664856,"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":0.9954000115394592,"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/torque","display_name":"Torque","score":0.7667447328567505},{"id":"https://openalex.org/keywords/electromyography","display_name":"Electromyography","score":0.6043323278427124},{"id":"https://openalex.org/keywords/knee-joint","display_name":"Knee Joint","score":0.5853759050369263},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5268529653549194},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.453967422246933},{"id":"https://openalex.org/keywords/exoskeleton","display_name":"Exoskeleton","score":0.4342867434024811},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.42601537704467773},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.41270098090171814},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.36063021421432495},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3590065836906433},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.28557875752449036},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19920513033866882},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.11589181423187256},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.10172125697135925},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08517277240753174},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.08488461375236511}],"concepts":[{"id":"https://openalex.org/C144171764","wikidata":"https://www.wikidata.org/wiki/Q48103","display_name":"Torque","level":2,"score":0.7667447328567505},{"id":"https://openalex.org/C2777515770","wikidata":"https://www.wikidata.org/wiki/Q507369","display_name":"Electromyography","level":2,"score":0.6043323278427124},{"id":"https://openalex.org/C2908736133","wikidata":"https://www.wikidata.org/wiki/Q37425","display_name":"Knee Joint","level":2,"score":0.5853759050369263},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5268529653549194},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.453967422246933},{"id":"https://openalex.org/C146549078","wikidata":"https://www.wikidata.org/wiki/Q191944","display_name":"Exoskeleton","level":2,"score":0.4342867434024811},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.42601537704467773},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.41270098090171814},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.36063021421432495},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3590065836906433},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.28557875752449036},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19920513033866882},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.11589181423187256},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.10172125697135925},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08517277240753174},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.08488461375236511},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio.2015.7418908","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2015.7418908","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Robotics and Biomimetics (ROBIO)","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":14,"referenced_works":["https://openalex.org/W1585532202","https://openalex.org/W1610323488","https://openalex.org/W2008534355","https://openalex.org/W2048207309","https://openalex.org/W2073929128","https://openalex.org/W2076024315","https://openalex.org/W2086061329","https://openalex.org/W2094687000","https://openalex.org/W2113821729","https://openalex.org/W2126663592","https://openalex.org/W2133530044","https://openalex.org/W2134490360","https://openalex.org/W2135270981","https://openalex.org/W2488164446"],"related_works":["https://openalex.org/W2901258812","https://openalex.org/W2887985348","https://openalex.org/W2401700601","https://openalex.org/W2570835373","https://openalex.org/W2557545276","https://openalex.org/W4387054232","https://openalex.org/W3205655234","https://openalex.org/W2906683640","https://openalex.org/W2069152157","https://openalex.org/W1992604210"],"abstract_inverted_index":{"Multichannel":[0],"electromyography":[1],"(EMG)":[2],"signals":[3],"have":[4,38],"been":[5],"used":[6,93],"as":[7],"human-machine":[8],"interface":[9],"(HMI)":[10],"to":[11,28,94,108,112,126,150],"control":[12],"robot":[13],"systems":[14],"and":[15,68,83,139],"prostheses":[16],"in":[17],"recent":[18],"years.":[19],"EMG-based":[20],"torque":[21,35,70,155],"estimation":[22],"is":[23,92,124],"a":[24,54,79,84,136],"widely":[25],"research":[26],"method":[27],"obtain":[29],"motion":[30],"intent.":[31],"However,":[32],"the":[33,39,60,104,109,114,128,153,166,174],"existing":[34],"models":[36],"usually":[37],"disadvantage":[40],"of":[41,78,143,156,176],"complexity":[42],"for":[43,48,59,98],"modeling":[44],"or":[45],"time":[46],"consuming":[47],"model":[49,58,76,82,91,111,129,169],"tuning.":[50],"This":[51,131],"paper":[52],"presents":[53],"practical":[55],"EMG-driven":[56,75,168],"musculoskeletal":[57,86,110],"knee":[61,157],"joint,":[62],"which":[63],"can":[64,140],"estimate":[65,113],"muscle":[66,80,89,96,100],"force":[67,97],"active":[69,115,154],"from":[71],"EMG":[72],"signals.":[73],"The":[74,88,118,148],"consists":[77],"tendon":[81,90],"proposed":[85,167],"model.":[87],"calculate":[95],"each":[99],"group":[101],"first.":[102],"Then":[103],"forces":[105],"are":[106],"input":[107],"joint":[116,158],"torque.":[117],"dual":[119],"population":[120],"genetic":[121],"algorithm":[122],"(DPGA)":[123],"applied":[125],"optimize":[127],"parameters.":[130],"tuning":[132],"process":[133],"takes":[134],"only":[135],"few":[137],"minutes":[138],"reduce":[141],"risk":[142],"fallen":[144],"into":[145],"local":[146],"minimum.":[147],"ability":[149],"accurately":[151],"predict":[152],"with":[159],"relatively":[160],"low":[161],"root-mean-square":[162],"error":[163],"(RMSE)":[164],"demonstrates":[165],"has":[170],"potential":[171],"applications":[172],"towards":[173],"development":[175],"HMI.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}