{"id":"https://openalex.org/W4409474638","doi":"https://doi.org/10.1109/tim.2025.3560752","title":"Multisource Information Fusion for Continuous Prediction of Joint Angles Using TCN Combined With Temporal Pattern Attention Mechanism","display_name":"Multisource Information Fusion for Continuous Prediction of Joint Angles Using TCN Combined With Temporal Pattern Attention Mechanism","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4409474638","doi":"https://doi.org/10.1109/tim.2025.3560752"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2025.3560752","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3560752","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-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/A5009201642","display_name":"Tairen Sun","orcid":"https://orcid.org/0000-0003-2049-6675"},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tairen Sun","raw_affiliation_strings":["School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-2049-6675","affiliations":[{"raw_affiliation_string":"School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I148128674"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Shaozhe Wang","orcid":"https://orcid.org/0009-0002-4597-774X"},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaozhe Wang","raw_affiliation_strings":["School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0002-4597-774X","affiliations":[{"raw_affiliation_string":"School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I148128674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004519375","display_name":"Hongjun Yang","orcid":"https://orcid.org/0000-0001-8206-0952"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongjun Yang","raw_affiliation_strings":["State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","Institute of Automation, State Key Laboratory of Multimodal Artificial Intelligence Systems, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8206-0952","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Institute of Automation, State Key Laboratory of Multimodal Artificial Intelligence Systems, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jiantao Yang","orcid":"https://orcid.org/0000-0001-8823-7026"},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiantao Yang","raw_affiliation_strings":["School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-8823-7026","affiliations":[{"raw_affiliation_string":"School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I148128674"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109333020","display_name":"Zeng\u2010Guang Hou","orcid":"https://orcid.org/0000-0002-1534-5840"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeng-Guang Hou","raw_affiliation_strings":["State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","Institute of Automation, State Key Laboratory of Multimodal Artificial Intelligence Systems, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1534-5840","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Institute of Automation, State Key Laboratory of Multimodal Artificial Intelligence Systems, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.8276,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.93411955,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"74","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.770799994468689,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.770799994468689,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13832","display_name":"Advanced Decision-Making Techniques","score":0.7376000285148621,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14225","display_name":"Advanced Sensor and Control Systems","score":0.718500018119812,"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/joint","display_name":"Joint (building)","score":0.6854981184005737},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.6208353638648987},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5690857172012329},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4924257695674896},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4657519459724426},{"id":"https://openalex.org/keywords/information-fusion","display_name":"Information fusion","score":0.42488032579421997},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4129987359046936},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4049302041530609},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33877789974212646},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33560726046562195},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18730974197387695},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11479294300079346}],"concepts":[{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.6854981184005737},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.6208353638648987},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5690857172012329},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4924257695674896},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4657519459724426},{"id":"https://openalex.org/C2982962833","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information fusion","level":2,"score":0.42488032579421997},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4129987359046936},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4049302041530609},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33877789974212646},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33560726046562195},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18730974197387695},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11479294300079346},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2025.3560752","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3560752","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2727896617","display_name":null,"funder_award_id":"62073156","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3882188835","display_name":null,"funder_award_id":"62025307","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4550578531","display_name":null,"funder_award_id":"62473364","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7799219257","display_name":null,"funder_award_id":"62103280","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8568066446","display_name":null,"funder_award_id":"62473262","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1977995219","https://openalex.org/W2003287494","https://openalex.org/W2038925006","https://openalex.org/W2172174842","https://openalex.org/W2293200354","https://openalex.org/W2593440111","https://openalex.org/W2796589614","https://openalex.org/W2864113268","https://openalex.org/W2883233325","https://openalex.org/W2885195348","https://openalex.org/W2890096158","https://openalex.org/W2897843070","https://openalex.org/W2941884907","https://openalex.org/W2965100371","https://openalex.org/W2996981032","https://openalex.org/W3010103539","https://openalex.org/W3011438564","https://openalex.org/W3012425893","https://openalex.org/W3114618135","https://openalex.org/W3117614508","https://openalex.org/W3126426351","https://openalex.org/W3157226684","https://openalex.org/W3158745887","https://openalex.org/W3183622623","https://openalex.org/W3187576114","https://openalex.org/W3200425804","https://openalex.org/W4200567002","https://openalex.org/W4206960741","https://openalex.org/W4212764906","https://openalex.org/W4221036970","https://openalex.org/W4291821215","https://openalex.org/W4312237003","https://openalex.org/W4312287851","https://openalex.org/W4321488710","https://openalex.org/W4375854259","https://openalex.org/W4376607491","https://openalex.org/W4379231761","https://openalex.org/W4380898072","https://openalex.org/W4390357442","https://openalex.org/W4393371699","https://openalex.org/W4404563212","https://openalex.org/W6749825310"],"related_works":["https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2152662039","https://openalex.org/W3088112989","https://openalex.org/W2392793229","https://openalex.org/W2355579697","https://openalex.org/W2103761320","https://openalex.org/W4360871138","https://openalex.org/W3208972923"],"abstract_inverted_index":{"Continuous":[0],"motion":[1,88,133,180],"intention":[2,79,134],"prediction":[3,32,89,150,181],"is":[4,138],"valuable":[5],"for":[6,112],"human-machine":[7],"interaction":[8],"(HMI),":[9],"however,":[10],"the":[11,14,17,49,52,60,82,86,92,105,121,125,127,154,170,173,176,185],"accuracy":[12,151],"and":[13,67,98,110,152,172],"efficiency":[15,94],"of":[16,51,63,175],"existing":[18],"related":[19,186],"results":[20],"are":[21,166],"far":[22],"from":[23],"satisfactory.":[24],"This":[25,147],"study":[26],"proposes":[27],"a":[28,99],"novel":[29],"continuous":[30,87],"motion-intention":[31],"method":[33],"that":[34],"combines":[35],"multi-source":[36],"information":[37],"fusion":[38],"with":[39,124,184],"an":[40],"improved":[41,140],"temporal":[42,53,61],"convolutional":[43],"neural":[44],"network":[45,84,101],"(TCN),":[46],"enhanced":[47],"by":[48,141],"introduction":[50],"pattern":[54],"attention":[55],"(TPA)":[56],"mechanism.":[57],"By":[58,119],"integrating":[59,120],"features":[62],"surface":[64],"electromyography":[65],"(sEMG)":[66],"mechanomyography":[68],"(MMG)":[69],"signals,":[70],"we":[71],"fully":[72],"exploit":[73],"their":[74],"synergistic":[75],"effect":[76],"in":[77,135,161,182],"movement":[78],"prediction.":[80],"Using":[81],"TCN":[83,103],"as":[85],"model":[90],"improves":[91],"training":[93],"through":[95],"parallel":[96],"computation":[97],"simple":[100],"structure.":[102],"avoids":[104],"possible":[106],"gradient":[107],"vanishing":[108],"problem,":[109],"allows":[111],"parameter":[113],"tuning":[114],"according":[115],"to":[116,130,157,168],"different":[117],"tasks.":[118],"TPA":[122],"mechanism":[123],"TCN,":[126],"model's":[128,155],"ability":[129,156],"recognize":[131],"human":[132],"sequential":[136],"data":[137],"significantly":[139],"focusing":[142],"on":[143],"key":[144],"time":[145,162],"steps.":[146],"enhancement":[148],"increases":[149],"strengthens":[153],"capture":[158],"long-term":[159],"dependencies":[160],"series":[163],"data.":[164],"Experiments":[165],"conducted":[167],"show":[169],"effectiveness":[171],"advantages":[174],"proposed":[177],"TPA-TCN":[178],"based":[179],"comparison":[183],"results.":[187]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
