{"id":"https://openalex.org/W3013927142","doi":"https://doi.org/10.1109/rcar47638.2019.9044026","title":"An Elbow Joint Angle Estimation Method Based on sEMG Feature and the Extra IMF Feature","display_name":"An Elbow Joint Angle Estimation Method Based on sEMG Feature and the Extra IMF Feature","publication_year":2019,"publication_date":"2019-08-01","ids":{"openalex":"https://openalex.org/W3013927142","doi":"https://doi.org/10.1109/rcar47638.2019.9044026","mag":"3013927142"},"language":"en","primary_location":{"id":"doi:10.1109/rcar47638.2019.9044026","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rcar47638.2019.9044026","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Real-time Computing and Robotics (RCAR)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5040560036","display_name":"Yizhi Lv","orcid":null},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yizhi Lv","raw_affiliation_strings":["College of Artificial Intelligence, Nankai University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015883801","display_name":"Feng Duan","orcid":"https://orcid.org/0000-0002-2179-2460"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Duan","raw_affiliation_strings":["College of Artificial Intelligence, Nankai University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100362814","display_name":"Jiawei Chen","orcid":"https://orcid.org/0000-0002-4668-5418"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawei Chen","raw_affiliation_strings":["College of Computer Science and The Institute of Statistics, Nankai University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and The Institute of Statistics, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013188461","display_name":"Zhenglu Yang","orcid":"https://orcid.org/0000-0001-9528-965X"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenglu Yang","raw_affiliation_strings":["College of Computer Science and The Institute of Statistics, Nankai University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and The Institute of Statistics, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072856200","display_name":"Yew Guan Soo","orcid":null},"institutions":[{"id":"https://openalex.org/I32589535","display_name":"Technical University of Malaysia Malacca","ror":"https://ror.org/01xb6rs26","country_code":"MY","type":"education","lineage":["https://openalex.org/I32589535"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Yew Guan Soo","raw_affiliation_strings":["Universiti Teknikal Malaysia Melaka, Durian Tunggal, Melaka, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universiti Teknikal Malaysia Melaka, Durian Tunggal, Melaka, Malaysia","institution_ids":["https://openalex.org/I32589535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103024951","display_name":"Kyung-Ryoul Mun","orcid":"https://orcid.org/0000-0001-5951-1014"},"institutions":[{"id":"https://openalex.org/I58716616","display_name":"Korea Institute of Science and Technology","ror":"https://ror.org/05kzfa883","country_code":"KR","type":"facility","lineage":["https://openalex.org/I27494661","https://openalex.org/I2801339556","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I4387152098","https://openalex.org/I58716616"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyungryoul Mun","raw_affiliation_strings":["Korea Institute of Science and Technology, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea Institute of Science and Technology, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I58716616"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112316964","display_name":"Chi Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I153470267","display_name":"Maebashi Institute of Technology","ror":"https://ror.org/01x05rm94","country_code":"JP","type":"education","lineage":["https://openalex.org/I153470267"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Chi Zhu","raw_affiliation_strings":["Department of Systems Life Engineering, Maebashi Institute of Technology, Maebashi-City, Gunma, JAPAN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Systems Life Engineering, Maebashi Institute of Technology, Maebashi-City, Gunma, JAPAN","institution_ids":["https://openalex.org/I153470267"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"35","issue":null,"first_page":"130","last_page":"135"},"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/T11023","display_name":"Prosthetics and Rehabilitation Robotics","score":0.9873999953269958,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.9754999876022339,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/elbow","display_name":"Elbow","score":0.6720788478851318},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.6405719518661499},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6299300193786621},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.6166617274284363},{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.5893383622169495},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.578080952167511},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5642154812812805},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5519213676452637},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5472344160079956},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5339869856834412},{"id":"https://openalex.org/keywords/root-mean-square","display_name":"Root mean square","score":0.43841981887817383},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.43319475650787354},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4243800640106201},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35877352952957153},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3172566592693329},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2831330895423889},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19932806491851807},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.09371235966682434}],"concepts":[{"id":"https://openalex.org/C2781184374","wikidata":"https://www.wikidata.org/wiki/Q42586","display_name":"Elbow","level":2,"score":0.6720788478851318},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.6405719518661499},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6299300193786621},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.6166617274284363},{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.5893383622169495},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.578080952167511},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5642154812812805},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5519213676452637},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5472344160079956},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5339869856834412},{"id":"https://openalex.org/C71907059","wikidata":"https://www.wikidata.org/wiki/Q223323","display_name":"Root mean square","level":2,"score":0.43841981887817383},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.43319475650787354},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4243800640106201},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35877352952957153},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3172566592693329},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2831330895423889},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19932806491851807},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.09371235966682434},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/rcar47638.2019.9044026","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rcar47638.2019.9044026","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Real-time Computing and Robotics (RCAR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1964357740","https://openalex.org/W1966455806","https://openalex.org/W2007221293","https://openalex.org/W2011987961","https://openalex.org/W2028560166","https://openalex.org/W2029639067","https://openalex.org/W2061653522","https://openalex.org/W2101337260","https://openalex.org/W2102903204","https://openalex.org/W2113998107","https://openalex.org/W2123167643","https://openalex.org/W2129316790","https://openalex.org/W2129531855","https://openalex.org/W2161688261","https://openalex.org/W2171219007","https://openalex.org/W2295398032","https://openalex.org/W2752304137"],"related_works":["https://openalex.org/W3014107421","https://openalex.org/W2363056446","https://openalex.org/W2081563414","https://openalex.org/W2359718298","https://openalex.org/W2377062149","https://openalex.org/W2380939102","https://openalex.org/W154554909","https://openalex.org/W2072581623","https://openalex.org/W2011248322","https://openalex.org/W3011201302"],"abstract_inverted_index":{"With":[0],"the":[1,6,10,34,49,65,84,108,112,167,173,184,198,209,217,226,237,242],"tendency":[2],"of":[3,27,58,169,175,241],"aging":[4],"society,":[5],"assistant":[7,50,243],"robot":[8],"for":[9,48,78,236],"aged":[11],"has":[12],"become":[13],"a":[14,25,79,95,233],"research":[15,113,143],"hotspot,":[16],"such":[17],"as":[18,111],"exoskeleton":[19],"robot.":[20,51],"Surface":[21],"electromyography":[22],"(sEMG)":[23],"is":[24,69,178,191,201],"kind":[26],"biological":[28],"signals":[29,74],"generated":[30],"by":[31,38,154],"muscle,":[32],"and":[33,106,128,137,157,197],"joint":[35,53,97,110,152,228],"angle":[36,54,85,98,153,229],"estimated":[37],"sEMG":[39,59,73,130,159],"can":[40,213,224],"be":[41,182,214],"used":[42],"to":[43,64,71,149,195,205,208],"construct":[44],"efficient":[45],"control":[46,239],"strategy":[47,240],"Estimating":[52],"requires":[55],"large":[56],"amount":[57],"training":[60],"data;":[61],"however,":[62],"due":[63],"muscle":[66],"fatigue,":[67],"it":[68,212],"inapplicable":[70],"collect":[72],"from":[75,126,193,203],"each":[76],"subject":[77],"long":[80],"time.":[81],"To":[82,181],"improve":[83],"estimation":[86,99,116,176,218],"accuracy":[87,174],"based":[88],"on":[89],"less":[90],"data,":[91],"this":[92],"paper":[93],"proposes":[94],"novel":[96],"method":[100,117,219],"with":[101,166,220],"empirical":[102],"mode":[103,121],"decomposition":[104],"(EMD),":[105],"selects":[107],"elbow":[109,151,227],"joint.":[114],"This":[115,142],"utilizes":[118],"extra":[119,170,221],"intrinsic":[120],"functions":[122],"(IMF)":[123],"feature":[124,223],"extracted":[125],"IMF":[127,155,171,222],"conventional":[129,158],"features":[131,156,172],"including":[132],"auto-regressive":[133],"model":[134],"(AR":[135],"model)":[136],"root":[138],"mean":[139,187],"square":[140,188],"(RMS).":[141],"adopts":[144],"support":[145],"vector":[146],"regression":[147,186],"(SVR)":[148],"estimate":[150,225],"features.":[160],"The":[161],"experimental":[162,210],"results":[163],"show":[164],"that":[165,216],"help":[168],"result":[177],"substantially":[179],"improved.":[180],"specific,":[183],"average":[185,199],"error":[189],"(MSE)":[190],"reduced":[192],"0.2459":[194],"0.1712":[196],"R2":[200],"improved":[202],"0.7546":[204],"0.8242.":[206],"According":[207],"results,":[211],"concluded":[215],"efficiently,":[230],"which":[231],"paves":[232],"solid":[234],"foundation":[235],"future":[238],"robots.":[244]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
