{"id":"https://openalex.org/W4390493725","doi":"https://doi.org/10.1109/cisp-bmei60920.2023.10373312","title":"Wrist Movements Estimation Based on Limited Training Dataset","display_name":"Wrist Movements Estimation Based on Limited Training Dataset","publication_year":2023,"publication_date":"2023-10-28","ids":{"openalex":"https://openalex.org/W4390493725","doi":"https://doi.org/10.1109/cisp-bmei60920.2023.10373312"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei60920.2023.10373312","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cisp-bmei60920.2023.10373312","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 16th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5101287112","display_name":"Meifang Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210108723","display_name":"Changzhou Institute of Technology","ror":"https://ror.org/020mrfq61","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210108723"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xu Meifang","raw_affiliation_strings":["Changzhou College of Information Technology,Changzhou,China","Changzhou College of Information Technology, Changzhou, China"],"affiliations":[{"raw_affiliation_string":"Changzhou College of Information Technology,Changzhou,China","institution_ids":["https://openalex.org/I4210108723"]},{"raw_affiliation_string":"Changzhou College of Information Technology, Changzhou, China","institution_ids":["https://openalex.org/I4210108723"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102949552","display_name":"Zhongjie Liu","orcid":"https://orcid.org/0000-0003-0790-3635"},"institutions":[{"id":"https://openalex.org/I4210108723","display_name":"Changzhou Institute of Technology","ror":"https://ror.org/020mrfq61","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210108723"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liu Zhongjie","raw_affiliation_strings":["Changzhou College of Information Technology,Changzhou,China","Changzhou College of Information Technology, Changzhou, China"],"affiliations":[{"raw_affiliation_string":"Changzhou College of Information Technology,Changzhou,China","institution_ids":["https://openalex.org/I4210108723"]},{"raw_affiliation_string":"Changzhou College of Information Technology, Changzhou, China","institution_ids":["https://openalex.org/I4210108723"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026688050","display_name":"Hong Qiao","orcid":"https://orcid.org/0000-0001-6384-3687"},"institutions":[{"id":"https://openalex.org/I4210108723","display_name":"Changzhou Institute of Technology","ror":"https://ror.org/020mrfq61","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210108723"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiao Hong","raw_affiliation_strings":["Changzhou College of Information Technology,Changzhou,China","Changzhou College of Information Technology, Changzhou, China"],"affiliations":[{"raw_affiliation_string":"Changzhou College of Information Technology,Changzhou,China","institution_ids":["https://openalex.org/I4210108723"]},{"raw_affiliation_string":"Changzhou College of Information Technology, Changzhou, China","institution_ids":["https://openalex.org/I4210108723"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100964036","display_name":"Yu Juhua","orcid":null},"institutions":[{"id":"https://openalex.org/I4210108723","display_name":"Changzhou Institute of Technology","ror":"https://ror.org/020mrfq61","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210108723"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Juhua","raw_affiliation_strings":["Changzhou College of Information Technology,City,China","Changzhou College of Information Technology, City, China"],"affiliations":[{"raw_affiliation_string":"Changzhou College of Information Technology,City,China","institution_ids":["https://openalex.org/I4210108723"]},{"raw_affiliation_string":"Changzhou College of Information Technology, City, China","institution_ids":["https://openalex.org/I4210108723"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101287112"],"corresponding_institution_ids":["https://openalex.org/I4210108723"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18207428,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9988999962806702,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7605509757995605},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6751256585121155},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6001068353652954},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5970839858055115},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.5476391315460205},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5325670838356018},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.44688811898231506},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4464065730571747},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.4205435812473297},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4196433126926422},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3583309054374695},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12235519289970398},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10498860478401184},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08693528175354004},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08671683073043823}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7605509757995605},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6751256585121155},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6001068353652954},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5970839858055115},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.5476391315460205},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5325670838356018},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.44688811898231506},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4464065730571747},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.4205435812473297},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4196433126926422},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3583309054374695},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12235519289970398},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10498860478401184},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08693528175354004},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08671683073043823},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei60920.2023.10373312","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cisp-bmei60920.2023.10373312","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 16th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7900000214576721,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2155893840","https://openalex.org/W2510853225","https://openalex.org/W2771247593","https://openalex.org/W2922041470","https://openalex.org/W2958266761","https://openalex.org/W2998998642","https://openalex.org/W3083396492","https://openalex.org/W3210952262","https://openalex.org/W4225975221","https://openalex.org/W4285108543","https://openalex.org/W4285162922","https://openalex.org/W4292281220"],"related_works":["https://openalex.org/W2109115373","https://openalex.org/W2390901981","https://openalex.org/W2090763504","https://openalex.org/W3203142394","https://openalex.org/W2161474341","https://openalex.org/W4230691760","https://openalex.org/W4302615923","https://openalex.org/W148178222","https://openalex.org/W4391923333","https://openalex.org/W1974101135"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,12,35],"novel":[4],"approach":[5],"to":[6],"decode":[7],"multi-DOF":[8],"wrist":[9],"movements":[10],"using":[11],"single-DOF":[13],"training":[14],"dataset.":[15],"The":[16],"main":[17],"machine":[18,46],"learning":[19,47],"model":[20,42,72],"employed":[21],"is":[22],"the":[23,31,51,80],"support":[24],"vector":[25],"regression":[26],"(SVR),":[27],"with":[28,66,98],"R2":[29],"as":[30],"evaluation":[32],"index.":[33],"Through":[34],"thorough":[36],"comparison":[37],"of":[38,53,82],"slide":[39,58],"window":[40,59],"lengths,":[41],"parameters,":[43],"and":[44,86],"different":[45],"models,":[48],"we":[49],"demonstrate":[50],"effectiveness":[52],"our":[54],"proposed":[55],"approach.":[56],"Longer":[57],"lengths":[60],"enhance":[61],"decoding":[62],"accuracy":[63],"but":[64],"come":[65],"increased":[67],"computational":[68],"complexity.":[69],"Fine-tuning":[70],"SVR":[71],"parameters":[73],"significantly":[74],"improves":[75],"performance.":[76],"Our":[77],"findings":[78],"highlight":[79],"feasibility":[81],"reducing":[83],"dataset":[84],"size":[85],"alleviating":[87],"patient":[88],"burden,":[89],"offering":[90],"potential":[91],"advancements":[92],"in":[93],"assistive":[94],"technologies":[95],"for":[96],"individuals":[97],"motor":[99],"disabilities.":[100]},"counts_by_year":[],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2024-01-03T00:00:00"}