{"id":"https://openalex.org/W2788731403","doi":"https://doi.org/10.1109/tfuzz.2018.2809691","title":"Three-Layer Weighted Fuzzy Support Vector Regression for Emotional Intention Understanding in Human\u2013Robot Interaction","display_name":"Three-Layer Weighted Fuzzy Support Vector Regression for Emotional Intention Understanding in Human\u2013Robot Interaction","publication_year":2018,"publication_date":"2018-02-26","ids":{"openalex":"https://openalex.org/W2788731403","doi":"https://doi.org/10.1109/tfuzz.2018.2809691","mag":"2788731403"},"language":"en","primary_location":{"id":"doi:10.1109/tfuzz.2018.2809691","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2018.2809691","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"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 Fuzzy Systems","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/A5029643093","display_name":"Luefeng Chen","orcid":"https://orcid.org/0000-0003-3571-7493"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Luefeng Chen","raw_affiliation_strings":["Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-3571-7493","affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan, China","institution_ids":["https://openalex.org/I4210094879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055465909","display_name":"Mengtian Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengtian Zhou","raw_affiliation_strings":["Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan, China","institution_ids":["https://openalex.org/I4210094879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074710425","display_name":"Min Wu","orcid":"https://orcid.org/0000-0002-0668-8315"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Wu","raw_affiliation_strings":["Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-0668-8315","affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan, China","institution_ids":["https://openalex.org/I4210094879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101916568","display_name":"Jinhua She","orcid":"https://orcid.org/0000-0003-3165-5045"},"institutions":[{"id":"https://openalex.org/I148798404","display_name":"Tokyo University of Technology","ror":"https://ror.org/021a26605","country_code":"JP","type":"education","lineage":["https://openalex.org/I148798404"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jinhua She","raw_affiliation_strings":["School of Engineering, Tokyo University of Technology, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0003-3165-5045","affiliations":[{"raw_affiliation_string":"School of Engineering, Tokyo University of Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I148798404"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101455965","display_name":"Zhentao Liu","orcid":"https://orcid.org/0000-0003-4100-9557"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhentao Liu","raw_affiliation_strings":["Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-4100-9557","affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan, China","institution_ids":["https://openalex.org/I4210094879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109308961","display_name":"Fangyan Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Fangyan Dong","raw_affiliation_strings":["Tokyo Institute of Technology, Yokohama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology, Yokohama, Japan","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066941401","display_name":"Kaoru Hirota","orcid":"https://orcid.org/0000-0001-5347-6182"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kaoru Hirota","raw_affiliation_strings":["Tokyo Institute of Technology, Yokohama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology, Yokohama, Japan","institution_ids":["https://openalex.org/I114531698"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5029643093"],"corresponding_institution_ids":["https://openalex.org/I4210094879"],"apc_list":null,"apc_paid":null,"fwci":9.6414,"has_fulltext":false,"cited_by_count":74,"citation_normalized_percentile":{"value":0.98261104,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"26","issue":"5","first_page":"2524","last_page":"2538"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9959999918937683,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/support-vector-machine","display_name":"Support vector machine","score":0.6352829933166504},{"id":"https://openalex.org/keywords/human\u2013robot-interaction","display_name":"Human\u2013robot interaction","score":0.603034496307373},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5366657972335815},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.511875331401825},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5026183128356934},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5024096965789795},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.46574318408966064},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.45946595072746277},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.41029471158981323},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33707737922668457},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21259373426437378}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6352829933166504},{"id":"https://openalex.org/C145460709","wikidata":"https://www.wikidata.org/wiki/Q859951","display_name":"Human\u2013robot interaction","level":3,"score":0.603034496307373},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5366657972335815},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.511875331401825},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5026183128356934},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5024096965789795},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.46574318408966064},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.45946595072746277},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.41029471158981323},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33707737922668457},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21259373426437378},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tfuzz.2018.2809691","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2018.2809691","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"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 Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1302836888","display_name":null,"funder_award_id":"61773353","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G26576258","display_name":null,"funder_award_id":"B17040","funder_id":"https://openalex.org/F4320327912","funder_display_name":"Higher Education Discipline Innovation Project"},{"id":"https://openalex.org/G2736798379","display_name":null,"funder_award_id":"61733016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3028657533","display_name":null,"funder_award_id":"61603356","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"},{"id":"https://openalex.org/F4320322815","display_name":"China University of Geosciences, Wuhan","ror":"https://ror.org/04q6c7p66"},{"id":"https://openalex.org/F4320327912","display_name":"Higher Education Discipline Innovation Project","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W14212942","https://openalex.org/W621657156","https://openalex.org/W1535574976","https://openalex.org/W1588269491","https://openalex.org/W1834533132","https://openalex.org/W1963718955","https://openalex.org/W1971598426","https://openalex.org/W1985784220","https://openalex.org/W1996244034","https://openalex.org/W2008185823","https://openalex.org/W2024782751","https://openalex.org/W2038940645","https://openalex.org/W2041186387","https://openalex.org/W2044770310","https://openalex.org/W2050948218","https://openalex.org/W2056763477","https://openalex.org/W2065178260","https://openalex.org/W2066835411","https://openalex.org/W2071901586","https://openalex.org/W2072933891","https://openalex.org/W2085094604","https://openalex.org/W2088326991","https://openalex.org/W2108089588","https://openalex.org/W2113873243","https://openalex.org/W2116362072","https://openalex.org/W2119821739","https://openalex.org/W2121726741","https://openalex.org/W2123076731","https://openalex.org/W2126698740","https://openalex.org/W2136637876","https://openalex.org/W2143717973","https://openalex.org/W2156909104","https://openalex.org/W2170085344","https://openalex.org/W2175462310","https://openalex.org/W2184199172","https://openalex.org/W2214715755","https://openalex.org/W2343296810","https://openalex.org/W2343590725","https://openalex.org/W2369439413","https://openalex.org/W2504989182","https://openalex.org/W2508892417","https://openalex.org/W2557119683","https://openalex.org/W4230674625","https://openalex.org/W4235169531","https://openalex.org/W4239510810","https://openalex.org/W6632257133","https://openalex.org/W6635231581","https://openalex.org/W6649311852","https://openalex.org/W6671513037","https://openalex.org/W6678469640","https://openalex.org/W6686138188","https://openalex.org/W6688412824","https://openalex.org/W6725431896"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W2012353789","https://openalex.org/W2530420969","https://openalex.org/W2051187167","https://openalex.org/W1980100242"],"abstract_inverted_index":{"A":[0],"three-layer":[1],"weighted":[2,35,51],"fuzzy":[3,37,42,128],"support":[4,43,129,132],"vector":[5,44,130,133],"regression":[6],"(TLWFSVR)":[7],"model":[8,28,114],"is":[9,17,90,182],"proposed":[10,112],"for":[11,39,47,53],"understanding":[12,105,118],"human":[13,103],"intention,":[14],"and":[15,50,63,120,135,163],"it":[16],"based":[18],"on":[19],"the":[20,60,67,72,111,143,150,179],"emotion-identification":[21,88],"information":[22,48,89],"in":[23,77,80,149],"human-robot":[24,152],"interaction.":[25],"The":[26],"TLWFSVR":[27,113],"consists":[29],"of":[30,66,74,86,126,170],"three":[31],"layers,":[32],"including":[33],"adjusted":[34],"kernel":[36],"c-means":[38],"data":[40],"clustering,":[41],"regressions":[45],"(FSVR)":[46],"understanding,":[49],"fusion":[52],"intention":[54,104,117],"understanding.":[55],"It":[56],"aims":[57],"to":[58,184],"guarantee":[59],"quick":[61],"convergence":[62],"satisfactory":[64],"performance":[65],"local":[68],"FSVR":[69],"via":[70],"adjusting":[71],"weights":[73],"each":[75,78],"feature":[76],"cluster,":[79],"such":[81],"a":[82,168,173],"way":[83],"that":[84,110,125,178],"importance":[85],"different":[87],"represented.":[91],"Moreover,":[92],"smooth":[93],"human-oriented":[94],"interaction":[95,153],"can":[96],"be":[97],"obtained":[98],"by":[99],"endowing":[100],"robot":[101,158,181],"with":[102],"capability.":[106],"Experimental":[107],"results":[108,176],"show":[109],"obtains":[115],"higher":[116],"accuracy":[119],"less":[121],"computational":[122],"time":[123],"than":[124],"two-layer":[127],"regression,":[131,134],"back":[136],"propagation":[137],"neural":[138],"network":[139],"(BPNN),":[140],"respectively.":[141],"Additionally,":[142],"preliminary":[144],"application":[145],"experiments":[146],"are":[147],"performed":[148],"developing":[151],"system,":[154,159],"called":[155],"emotional":[156],"social":[157],"where":[160],"12":[161],"volunteers":[162],"2":[164],"mobile":[165],"robots":[166],"experience":[167],"scenario":[169],"\u201cdrinking":[171],"at":[172],"bar.\u201d":[174],"Application":[175],"indicate":[177],"bartender":[180],"able":[183],"understand":[185],"customers'":[186],"order":[187],"intentions.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":16},{"year":2019,"cited_by_count":14},{"year":2018,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}