{"id":"https://openalex.org/W2011326218","doi":"https://doi.org/10.1109/apsipa.2014.7041743","title":"Multimodal continuous affect recognition based on LSTM and multiple kernel learning","display_name":"Multimodal continuous affect recognition based on LSTM and multiple kernel learning","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W2011326218","doi":"https://doi.org/10.1109/apsipa.2014.7041743","mag":"2011326218"},"language":"en","primary_location":{"id":"doi:10.1109/apsipa.2014.7041743","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2014.7041743","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific","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/A5109719922","display_name":"Jiamei Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiamei Wei","raw_affiliation_strings":["VUB-NPU Joint AVSP Research Lab, Northwestern Polytechnical University, Xi'an, China","VUB-NPU Joint AVSP Research Lab, Shaanxi Provincial Key Lab on Speech and Image Information Processing, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VUB-NPU Joint AVSP Research Lab, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"VUB-NPU Joint AVSP Research Lab, Shaanxi Provincial Key Lab on Speech and Image Information Processing, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014851312","display_name":"Ercheng Pei","orcid":"https://orcid.org/0000-0003-3582-6809"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ercheng Pei","raw_affiliation_strings":["VUB-NPU Joint AVSP Research Lab, Northwestern Polytechnical University, Xi'an, China","VUB-NPU Joint AVSP Research Lab, Shaanxi Provincial Key Lab on Speech and Image Information Processing, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VUB-NPU Joint AVSP Research Lab, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"VUB-NPU Joint AVSP Research Lab, Shaanxi Provincial Key Lab on Speech and Image Information Processing, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102021514","display_name":"Dongmei Jiang","orcid":"https://orcid.org/0000-0002-6238-8499"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongmei Jiang","raw_affiliation_strings":["VUB-NPU Joint AVSP Research Lab, Northwestern Polytechnical University, Xi'an, China","VUB-NPU Joint AVSP Research Lab, Shaanxi Provincial Key Lab on Speech and Image Information Processing, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VUB-NPU Joint AVSP Research Lab, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"VUB-NPU Joint AVSP Research Lab, Shaanxi Provincial Key Lab on Speech and Image Information Processing, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073820422","display_name":"Hichem Sahli","orcid":"https://orcid.org/0000-0002-1774-2970"},"institutions":[{"id":"https://openalex.org/I196972281","display_name":"Imec the Netherlands","ror":"https://ror.org/01ezq2j76","country_code":"NL","type":"facility","lineage":["https://openalex.org/I196972281"]},{"id":"https://openalex.org/I4210114974","display_name":"IMEC","ror":"https://ror.org/02kcbn207","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I4210114974"]}],"countries":["BE","NL"],"is_corresponding":false,"raw_author_name":"Hichem Sahli","raw_affiliation_strings":["Dept. ETRO, Interuniversity Microelectronics Centre - IMEC, Brussels, Belgium","VUB-NPU Joint AVSP Research Lab, Dept. ETRO, Vrije Universiteit Br\u00fcssel, Interuniversity Microelectronics Centre - IMEC, Brussels, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. ETRO, Interuniversity Microelectronics Centre - IMEC, Brussels, Belgium","institution_ids":["https://openalex.org/I4210114974"]},{"raw_affiliation_string":"VUB-NPU Joint AVSP Research Lab, Dept. ETRO, Vrije Universiteit Br\u00fcssel, Interuniversity Microelectronics Centre - IMEC, Brussels, Belgium","institution_ids":["https://openalex.org/I196972281"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100668966","display_name":"Lei Xie","orcid":"https://orcid.org/0000-0001-8234-0823"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Xie","raw_affiliation_strings":["VUB-NPU Joint AVSP Research Lab, Northwestern Polytechnical University, Xi'an, China","VUB-NPU Joint AVSP Research Lab, Shaanxi Provincial Key Lab on Speech and Image Information Processing, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VUB-NPU Joint AVSP Research Lab, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"VUB-NPU Joint AVSP Research Lab, Shaanxi Provincial Key Lab on Speech and Image Information Processing, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100296396","display_name":"Zhonghua Fu","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhonghua Fu","raw_affiliation_strings":["VUB-NPU Joint AVSP Research Lab, Northwestern Polytechnical University, Xi'an, China","VUB-NPU Joint AVSP Research Lab, Shaanxi Provincial Key Lab on Speech and Image Information Processing, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VUB-NPU Joint AVSP Research Lab, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"VUB-NPU Joint AVSP Research Lab, Shaanxi Provincial Key Lab on Speech and Image Information Processing, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.631,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.83832803,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"22","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9991000294685364,"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":0.9991000294685364,"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/T10860","display_name":"Speech and Audio Processing","score":0.9632999897003174,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12496","display_name":"Color perception and design","score":0.9584000110626221,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6969228386878967},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6871547698974609},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6521472930908203},{"id":"https://openalex.org/keywords/multiple-kernel-learning","display_name":"Multiple kernel learning","score":0.5926446914672852},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5729386210441589},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5375158190727234},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5302350521087646},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4718252122402191},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4465390145778656},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3926158547401428},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.329288512468338},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18420806527137756}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6969228386878967},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6871547698974609},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6521472930908203},{"id":"https://openalex.org/C2776879701","wikidata":"https://www.wikidata.org/wiki/Q25048660","display_name":"Multiple kernel learning","level":4,"score":0.5926446914672852},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5729386210441589},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5375158190727234},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5302350521087646},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4718252122402191},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4465390145778656},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3926158547401428},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.329288512468338},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18420806527137756},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apsipa.2014.7041743","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2014.7041743","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific","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":17,"referenced_works":["https://openalex.org/W211912913","https://openalex.org/W1491953704","https://openalex.org/W1964744287","https://openalex.org/W1976066595","https://openalex.org/W1983703866","https://openalex.org/W2000292092","https://openalex.org/W2014915963","https://openalex.org/W2053831280","https://openalex.org/W2092206588","https://openalex.org/W2104472920","https://openalex.org/W2149628368","https://openalex.org/W2154462399","https://openalex.org/W2170027724","https://openalex.org/W2219827282","https://openalex.org/W2554760292","https://openalex.org/W6675788551","https://openalex.org/W6683181193"],"related_works":["https://openalex.org/W2900715739","https://openalex.org/W2289496068","https://openalex.org/W2547116720","https://openalex.org/W2043864454","https://openalex.org/W2188831877","https://openalex.org/W3125885229","https://openalex.org/W4291669689","https://openalex.org/W2153379791","https://openalex.org/W2001173190","https://openalex.org/W2295320501"],"abstract_inverted_index":{"In":[0,73],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,107,161],"Long":[6],"Short-Term":[7],"Memory":[8],"Recurrent":[9],"Neural":[10],"Network":[11],"(LSTM-RNN)":[12],"and":[13,38,51,62,79,167],"multiple":[14],"kernel":[15],"learning":[16],"(MKL)":[17],"based":[18],"multi-modal":[19],"affect":[20,57,98],"recognition":[21,75,150],"scheme":[22,147],"(LSTM-MKL).":[23],"It":[24],"takes":[25],"the":[26,31,40,45,49,56,74,77,85,97,114,122,129,143],"LSTM-RNN":[27,65],"advantage":[28],"to":[29,43,84,128,160],"model":[30,44],"long":[32],"range":[33],"dependencies":[34],"between":[35,48],"successive":[36],"observations,":[37],"uses":[39],"MKL":[41],"power":[42],"non-linear":[46],"correlations":[47],"inputs":[50],"outputs.":[52],"For":[53],"each":[54,71],"of":[55,96,157,163],"dimensions":[58],"(arousal,":[59],"valence,":[60],"expectancy,":[61],"power),":[63],"two":[64],"models":[66],"are":[67,82,103],"trained,":[68],"one":[69],"for":[70,113,165,169],"modality.":[72],"phase,":[76],"audio":[78],"visual":[80],"features":[81],"input":[83,105],"corresponding":[86],"learned":[87],"LSTM":[88,101],"models,":[89],"which":[90],"in":[91],"turn":[92],"produce":[93],"initial":[94],"estimates":[95],"dimensions.":[99],"The":[100],"outputs":[102],"further":[104],"into":[106],"multi-kernel":[108],"support":[109],"vector":[110],"regression":[111],"(MK-SVR)":[112],"final":[115],"recognition.":[116],"Experimental":[117],"results":[118],"carried":[119],"out":[120],"on":[121],"AVEC2012":[123],"database,":[124],"show":[125],"that":[126],"compared":[127,159],"traditional":[130],"SVR-LLR":[131],"(Support":[132],"Vector":[133],"Machine":[134],"-":[135],"local":[136],"linear":[137],"regression)":[138],"or":[139],"MK-SVR":[140],"fusion":[141,146],"scheme,":[142],"proposed":[144],"LSTM-MKL":[145],"obtains":[148],"higher":[149],"results,":[151],"with":[152],"an":[153],"correlation":[154],"coefficient":[155],"(COR)":[156],"0.354,":[158],"COR":[162],"0.124":[164],"SVR-LLR,":[166],"0.168":[168],"MK-SVR,":[170],"respectively.":[171]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}