{"id":"https://openalex.org/W3198079171","doi":"https://doi.org/10.1109/rcar52367.2021.9517472","title":"A Novel Method for Predicting Action Switching in Continuous Motion based on sEMG Signals","display_name":"A Novel Method for Predicting Action Switching in Continuous Motion based on sEMG Signals","publication_year":2021,"publication_date":"2021-07-15","ids":{"openalex":"https://openalex.org/W3198079171","doi":"https://doi.org/10.1109/rcar52367.2021.9517472","mag":"3198079171"},"language":"en","primary_location":{"id":"doi:10.1109/rcar52367.2021.9517472","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rcar52367.2021.9517472","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Real-time Computing and Robotics (RCAR)","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/A5112111855","display_name":"Xin Shi","orcid":"https://orcid.org/0000-0002-9889-8159"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xin Shi","raw_affiliation_strings":["School of Automation, Chongqing University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078970210","display_name":"Jiaqing Zhu","orcid":"https://orcid.org/0000-0001-9841-3337"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaqing Zhu","raw_affiliation_strings":["School of Automation, Chongqing University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109600227","display_name":"Pengjie Qin","orcid":null},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengjie Qin","raw_affiliation_strings":["School of Automation, Chongqing University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018638305","display_name":"Haoyang Cui","orcid":"https://orcid.org/0000-0001-6604-3714"},"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/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoyang Cui","raw_affiliation_strings":["Guangdong Provincial Key Lab of Robotics and Intelligent System, Shenzhen Institudes of Advanced Technology, Chinese Academy of Sciences, ShenZhen, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Lab of Robotics and Intelligent System, Shenzhen Institudes of Advanced Technology, Chinese Academy of Sciences, ShenZhen, China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5112111855"],"corresponding_institution_ids":["https://openalex.org/I158842170"],"apc_list":null,"apc_paid":null,"fwci":0.0836,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.38094864,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"19","issue":null,"first_page":"1343","last_page":"1348"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9923999905586243,"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/T10982","display_name":"Motor Control and Adaptation","score":0.9639000296592712,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7080227732658386},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.6740322113037109},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5990933179855347},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5745362639427185},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.5602886080741882},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5136803984642029},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5115669369697571},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.4786747097969055},{"id":"https://openalex.org/keywords/electromyography","display_name":"Electromyography","score":0.45630210638046265},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3777959942817688},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33408641815185547},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.0786619484424591}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7080227732658386},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.6740322113037109},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5990933179855347},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5745362639427185},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.5602886080741882},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5136803984642029},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5115669369697571},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.4786747097969055},{"id":"https://openalex.org/C2777515770","wikidata":"https://www.wikidata.org/wiki/Q507369","display_name":"Electromyography","level":2,"score":0.45630210638046265},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3777959942817688},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33408641815185547},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.0786619484424591},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/rcar52367.2021.9517472","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rcar52367.2021.9517472","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Real-time Computing and Robotics (RCAR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2129316790","https://openalex.org/W2526813065","https://openalex.org/W2915722752","https://openalex.org/W2947998142","https://openalex.org/W2955232259","https://openalex.org/W2960898400","https://openalex.org/W2971316385","https://openalex.org/W2973392605","https://openalex.org/W3005948005","https://openalex.org/W3009838948","https://openalex.org/W3012425893","https://openalex.org/W3017470925","https://openalex.org/W3018443015","https://openalex.org/W3041675192","https://openalex.org/W3042545382","https://openalex.org/W3043559739","https://openalex.org/W3047759098","https://openalex.org/W3082767738","https://openalex.org/W3103457184","https://openalex.org/W6782559216"],"related_works":["https://openalex.org/W2376139493","https://openalex.org/W2911808920","https://openalex.org/W2141253262","https://openalex.org/W3156756500","https://openalex.org/W4251090744","https://openalex.org/W2386293158","https://openalex.org/W2433638048","https://openalex.org/W4282981700","https://openalex.org/W2006061919","https://openalex.org/W2998716555"],"abstract_inverted_index":{"As":[0],"one":[1],"of":[2,6,29,60,95,113,130,142],"the":[3,23,30,47,58,93,102,106,111,119,128,131,136,139],"main":[4],"signals":[5],"human":[7],"movement":[8],"intention":[9,62],"recognition,":[10],"surface":[11],"electromyography":[12],"(sEMG)":[13],"has":[14],"received":[15],"more":[16,18],"and":[17,26,81,109,134],"attention.":[19],"However,":[20],"due":[21],"to":[22,37,87],"non-stationary,":[24],"non-periodic":[25],"chaotic":[27],"characteristics":[28],"sEMG":[31,79],"signal":[32],"itself,":[33],"it":[34],"is":[35,123],"difficult":[36],"recognize":[38],"intentions":[39],"in":[40,51,98],"continuous":[41,52,99,143],"actions.":[42],"In":[43],"practical":[44],"applications,":[45],"if":[46],"state":[48],"switching":[49,97,121],"position":[50],"motion":[53,61],"can":[54],"be":[55,65],"accurately":[56],"captured,":[57],"accuracy":[59],"recognition":[63],"will":[64],"greatly":[66],"improved.":[67],"Therefore,":[68],"this":[69],"paper":[70],"proposes":[71],"a":[72,89],"predictive":[73,103],"classification":[74],"method":[75],"based":[76],"on":[77],"multi-channel":[78],"signals,":[80],"conducts":[82],"preliminary":[83],"exploratory":[84],"experiments,":[85],"aiming":[86],"provide":[88],"new":[90],"idea":[91,133],"for":[92,138],"study":[94],"action":[96],"motion.":[100],"Combining":[101],"model":[104],"with":[105],"diagnostic":[107],"model,":[108],"testing":[110],"data":[112],"8":[114],"objects":[115],"through":[116],"online":[117],"simulation,":[118],"average":[120],"delay":[122],"145.5ms.":[124],"The":[125],"experiment":[126],"confirmed":[127],"feasibility":[129],"research":[132,141],"laid":[135],"foundation":[137],"future":[140],"multi-action":[144],"switching.":[145]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}