{"id":"https://openalex.org/W4404294390","doi":"https://doi.org/10.1109/m2vip62491.2024.10746173","title":"Estimation of Elbow Joint Angle from EMG and IMU measurements based on Graph Convolution Neural Network","display_name":"Estimation of Elbow Joint Angle from EMG and IMU measurements based on Graph Convolution Neural Network","publication_year":2024,"publication_date":"2024-10-03","ids":{"openalex":"https://openalex.org/W4404294390","doi":"https://doi.org/10.1109/m2vip62491.2024.10746173"},"language":"en","primary_location":{"id":"doi:10.1109/m2vip62491.2024.10746173","is_oa":false,"landing_page_url":"https://doi.org/10.1109/m2vip62491.2024.10746173","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 30th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)","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/A5113138953","display_name":"Hongjing Teng","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongjing Teng","raw_affiliation_strings":["Nanjing University of Science and Technology,School of Automation,Nanjing,China,210094"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology,School of Automation,Nanjing,China,210094","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035830747","display_name":"Genning Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Genning Zhang","raw_affiliation_strings":["Nanjing University of Science and Technology,School of Automation,Nanjing,China,210094"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology,School of Automation,Nanjing,China,210094","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100621162","display_name":"Hui Zhou","orcid":"https://orcid.org/0000-0002-6099-3679"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Zhou","raw_affiliation_strings":["Nanjing University of Science and Technology,School of Automation,Nanjing,China,210094"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology,School of Automation,Nanjing,China,210094","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044174429","display_name":"Sumaya Rahman","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"S M Atoar Rahman","raw_affiliation_strings":["Nanjing University of Science and Technology,School of Automation,Nanjing,China,210094"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology,School of Automation,Nanjing,China,210094","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090204404","display_name":"Antonio Frisoli","orcid":"https://orcid.org/0000-0002-7126-4113"},"institutions":[{"id":"https://openalex.org/I162290304","display_name":"Scuola Superiore Sant'Anna","ror":"https://ror.org/025602r80","country_code":"IT","type":"education","lineage":["https://openalex.org/I162290304"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Antonio Frisoli","raw_affiliation_strings":["Scuola Superiore Sant’Anna,Institute of Mechanical Intelligence,Pisa,Italy"],"affiliations":[{"raw_affiliation_string":"Scuola Superiore Sant’Anna,Institute of Mechanical Intelligence,Pisa,Italy","institution_ids":["https://openalex.org/I162290304"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5113138953"],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":0.571,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.64535926,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9904999732971191,"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":0.9904999732971191,"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/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.7171353101730347},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6701836585998535},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6170920133590698},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.6137939691543579},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5498360395431519},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5107036232948303},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4988119602203369},{"id":"https://openalex.org/keywords/elbow","display_name":"Elbow","score":0.4935365915298462},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4209459125995636},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39859825372695923},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1213739812374115},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.09742006659507751},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.059983909130096436}],"concepts":[{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.7171353101730347},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6701836585998535},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6170920133590698},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.6137939691543579},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5498360395431519},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5107036232948303},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4988119602203369},{"id":"https://openalex.org/C2781184374","wikidata":"https://www.wikidata.org/wiki/Q42586","display_name":"Elbow","level":2,"score":0.4935365915298462},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4209459125995636},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39859825372695923},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1213739812374115},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.09742006659507751},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.059983909130096436},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","level":1,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/m2vip62491.2024.10746173","is_oa":false,"landing_page_url":"https://doi.org/10.1109/m2vip62491.2024.10746173","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 30th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)","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":19,"referenced_works":["https://openalex.org/W629053621","https://openalex.org/W2029013432","https://openalex.org/W2031342227","https://openalex.org/W2049929913","https://openalex.org/W2066459718","https://openalex.org/W2068189202","https://openalex.org/W2080596365","https://openalex.org/W2096553993","https://openalex.org/W2169931829","https://openalex.org/W2513420276","https://openalex.org/W2964015378","https://openalex.org/W3006279496","https://openalex.org/W3041675192","https://openalex.org/W4200379466","https://openalex.org/W4226101141","https://openalex.org/W4285284122","https://openalex.org/W4307959146","https://openalex.org/W4313525301","https://openalex.org/W4360584626"],"related_works":["https://openalex.org/W2091018038","https://openalex.org/W2225378543","https://openalex.org/W9839718","https://openalex.org/W3110613631","https://openalex.org/W4287122200","https://openalex.org/W2742744817","https://openalex.org/W2040913503","https://openalex.org/W2609289561","https://openalex.org/W2364463730","https://openalex.org/W3166845860"],"abstract_inverted_index":{"To":[0],"ensure":[1],"effective":[2],"and":[3,76,149],"safe":[4],"human-robot":[5],"interaction":[6],"in":[7,113],"rehabilitation":[8],"or":[9],"performance":[10,100],"enhancement":[11],"using":[12,29],"robotic":[13],"devices,":[14],"it":[15],"is":[16,62,101],"crucial":[17],"to":[18,58,70,81,97],"accurately":[19],"estimate":[20],"human":[21],"motion.":[22],"However,":[23],"achieving":[24],"high-precision":[25],"joint":[26,60,108,120,137],"angle":[27,109,121,138,154],"measurement":[28],"surface":[30],"electromyography":[31],"(sEMG)":[32],"has":[33],"remained":[34],"a":[35,40,94,165],"challenge.":[36],"In":[37],"this":[38,114],"study,":[39],"novel":[41],"deep":[42,89],"learning":[43,90],"framework":[44,65,92],"that":[45,106],"combines":[46],"Graph":[47],"Convolutional":[48],"Neural":[49],"Networks":[50],"(GCN)":[51],"with":[52,141,164],"Long":[53],"Short-Term":[54],"Memory":[55],"(LSTM)":[56],"networks":[57,78],"predict":[59],"angles":[61],"proposed.":[63],"The":[64,87],"utilizes":[66],"the":[67,107,118,127,134,151,158],"correlation":[68,129],"matrix":[69],"capture":[71,82],"spatial":[72,128],"correlations":[73,84],"between":[74,85,130],"nodes,":[75],"LSTM":[77],"are":[79],"employed":[80],"temporal":[83],"nodes.":[86],"proposed":[88,112,152],"network":[91,143],"on":[93],"self-built":[95],"dataset":[96],"assess":[98],"its":[99],"validated.":[102],"Experimental":[103],"results":[104],"demonstrate":[105],"prediction":[110,155],"model":[111],"study":[115],"effectively":[116],"predicts":[117],"elbow":[119,153],"under":[122],"different":[123],"load":[124],"conditions.":[125],"Considering":[126],"sensors":[131],"significantly":[132],"improves":[133],"accuracy":[135],"of":[136,162],"prediction.":[139],"Compared":[140],"other":[142],"models,":[144],"such":[145],"as":[146,171,173],"Bi-LSTM,":[147],"TCN,":[148],"CNN-LSTM,":[150],"algorithm":[156],"achieves":[157],"highest":[159],"fitting":[160],"degree":[161],"95.3%,":[163],"minimum":[166],"mean":[167],"square":[168],"error":[169],"(MMSE)":[170],"low":[172],"0.0197.":[174]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}