{"id":"https://openalex.org/W2973082020","doi":"https://doi.org/10.1109/icarm.2019.8834170","title":"Human-in-the-Loop Optimization Control for the Ankle Exoskeleton During Walking Based on Iterative Learning and Particle Swarm Optimization Algorithm","display_name":"Human-in-the-Loop Optimization Control for the Ankle Exoskeleton During Walking Based on Iterative Learning and Particle Swarm Optimization Algorithm","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2973082020","doi":"https://doi.org/10.1109/icarm.2019.8834170","mag":"2973082020"},"language":"en","primary_location":{"id":"doi:10.1109/icarm.2019.8834170","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarm.2019.8834170","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 4th International Conference on Advanced Robotics and Mechatronics (ICARM)","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/A5086967620","display_name":"He Yan","orcid":"https://orcid.org/0000-0002-6135-3809"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"He Yan","raw_affiliation_strings":["School of Automation, Wuhan University of Technology, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Wuhan University of Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101881739","display_name":"Biwei Tang","orcid":"https://orcid.org/0000-0002-8387-0794"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Biwei Tang","raw_affiliation_strings":["School of Automation, Wuhan University of Technology, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Wuhan University of Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079862247","display_name":"Kui Xiang","orcid":"https://orcid.org/0000-0002-1361-6600"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kui Xiang","raw_affiliation_strings":["School of Automation, Wuhan University of Technology, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Wuhan University of Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089503468","display_name":"Muye Pang","orcid":"https://orcid.org/0000-0002-3198-1265"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Muye Pang","raw_affiliation_strings":["School of Automation, Wuhan University of Technology, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Wuhan University of Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I196699116"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5086967620"],"corresponding_institution_ids":["https://openalex.org/I196699116"],"apc_list":null,"apc_paid":null,"fwci":0.3912,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.59240227,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"3 15","issue":null,"first_page":"570","last_page":"574"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11023","display_name":"Prosthetics and Rehabilitation Robotics","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/T11023","display_name":"Prosthetics and Rehabilitation Robotics","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/T10784","display_name":"Muscle activation and electromyography studies","score":0.9915000200271606,"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/T10510","display_name":"Stroke Rehabilitation and Recovery","score":0.970300018787384,"subfield":{"id":"https://openalex.org/subfields/2742","display_name":"Rehabilitation"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/exoskeleton","display_name":"Exoskeleton","score":0.906571626663208},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.836545467376709},{"id":"https://openalex.org/keywords/iterative-learning-control","display_name":"Iterative learning control","score":0.7322402000427246},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5852183103561401},{"id":"https://openalex.org/keywords/ankle","display_name":"Ankle","score":0.48552894592285156},{"id":"https://openalex.org/keywords/human-in-the-loop","display_name":"Human-in-the-loop","score":0.4846666157245636},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.3975176215171814},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.39152681827545166},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.2924719452857971},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2745186984539032},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2533937990665436},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.07017987966537476}],"concepts":[{"id":"https://openalex.org/C146549078","wikidata":"https://www.wikidata.org/wiki/Q191944","display_name":"Exoskeleton","level":2,"score":0.906571626663208},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.836545467376709},{"id":"https://openalex.org/C117619785","wikidata":"https://www.wikidata.org/wiki/Q6094414","display_name":"Iterative learning control","level":3,"score":0.7322402000427246},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5852183103561401},{"id":"https://openalex.org/C2778640784","wikidata":"https://www.wikidata.org/wiki/Q168002","display_name":"Ankle","level":2,"score":0.48552894592285156},{"id":"https://openalex.org/C2780626000","wikidata":"https://www.wikidata.org/wiki/Q5936775","display_name":"Human-in-the-loop","level":2,"score":0.4846666157245636},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.3975176215171814},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.39152681827545166},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.2924719452857971},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2745186984539032},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2533937990665436},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.07017987966537476},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icarm.2019.8834170","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarm.2019.8834170","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 4th International Conference on Advanced Robotics and Mechatronics (ICARM)","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":11,"referenced_works":["https://openalex.org/W1864504421","https://openalex.org/W1991235214","https://openalex.org/W2058074226","https://openalex.org/W2109364787","https://openalex.org/W2148380797","https://openalex.org/W2411309527","https://openalex.org/W2609988131","https://openalex.org/W2700163520","https://openalex.org/W2755367247","https://openalex.org/W2788331089","https://openalex.org/W2898812585"],"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/W3198063775","https://openalex.org/W1553696796","https://openalex.org/W2753647732","https://openalex.org/W2340943204"],"abstract_inverted_index":{"Aiming":[0],"at":[1],"enhancing":[2],"the":[3,10,16,34,38,48,54,63,69,73,78,90,98,102,112,115,124,143,160,163],"locomotion":[4],"capability":[5],"of":[6,80,105,114,147,150,162],"human":[7],"and":[8,19,25,53,96],"improving":[9],"walking":[11,103],"economy,":[12],"this":[13],"paper":[14],"leverages":[15],"iterative":[17,55],"learning":[18,56],"particle":[20],"swarm":[21],"optimization":[22,30,40],"(PSO)":[23],"algorithm":[24,58],"develops":[26],"a":[27],"human-in-the-loop":[28],"(HIP)":[29],"control":[31,41,51,57,62,65,82],"method":[32,75],"for":[33],"ankle":[35,49,132],"exoskeleton.":[36],"In":[37,108],"developed":[39,74,116,164],"method,":[42,117],"PSO":[43,70],"is":[44,59],"implemented":[45],"to":[46,61,77,88,100,110,156],"identify":[47],"exoskeleton":[50,133],"parameters,":[52],"applied":[60],"optimized":[64],"parameters":[66],"founded":[67],"by":[68],"optimizer.":[71],"Since":[72],"belongs":[76],"family":[79],"customer-individualized":[81],"strategy,":[83],"it":[84],"may":[85],"be":[86],"suited":[87],"handle":[89],"response":[91],"variations":[92],"among":[93],"different":[94],"participants":[95],"has":[97],"potential":[99],"improve":[101],"economy":[104],"each":[106,151],"participant.":[107],"order":[109],"validate":[111],"efficiency":[113],"we":[118],"have":[119],"conducted":[120],"an":[121,131],"experiment":[122],"in":[123],"case":[125],"where":[126],"eight":[127],"healthy":[128],"subjects":[129],"wearing":[130],"on":[134],"their":[135],"left":[136],"legs.":[137],"The":[138],"experimental":[139],"results":[140],"show":[141],"that":[142],"soleus":[144],"muscle":[145],"activities":[146],"both":[148],"legs":[149],"subject":[152],"are":[153],"reduced,":[154],"which,":[155],"some":[157],"extent,":[158],"validates":[159],"feasibility":[161],"method.":[165]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}