{"id":"https://openalex.org/W4405710108","doi":"https://doi.org/10.1109/iscslp63861.2024.10800502","title":"Personalized Multimodal Emotion Recognition: Integrating Temporal Dynamics and Individual Traits for Enhanced Performance","display_name":"Personalized Multimodal Emotion Recognition: Integrating Temporal Dynamics and Individual Traits for Enhanced Performance","publication_year":2024,"publication_date":"2024-11-07","ids":{"openalex":"https://openalex.org/W4405710108","doi":"https://doi.org/10.1109/iscslp63861.2024.10800502"},"language":"en","primary_location":{"id":"doi:10.1109/iscslp63861.2024.10800502","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscslp63861.2024.10800502","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 14th International Symposium on Chinese Spoken Language Processing (ISCSLP)","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/A5049016082","display_name":"Binqiang Wang","orcid":"https://orcid.org/0000-0001-9406-167X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Binqiang Wang","raw_affiliation_strings":["IEIT SYSTEMS"],"affiliations":[{"raw_affiliation_string":"IEIT SYSTEMS","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102827995","display_name":"Gang Dong","orcid":"https://orcid.org/0000-0002-1966-2667"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gang Dong","raw_affiliation_strings":["IEIT SYSTEMS"],"affiliations":[{"raw_affiliation_string":"IEIT SYSTEMS","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101017833","display_name":"Yaqian Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yaqian Zhao","raw_affiliation_strings":["IEIT SYSTEMS"],"affiliations":[{"raw_affiliation_string":"IEIT SYSTEMS","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064453711","display_name":"Rengang Li","orcid":"https://orcid.org/0000-0002-4297-4335"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rengang Li","raw_affiliation_strings":["IEIT SYSTEMS"],"affiliations":[{"raw_affiliation_string":"IEIT SYSTEMS","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5049016082"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.533,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.73388063,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"408","last_page":"412"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.6934000253677368,"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":0.6934000253677368,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6794341802597046},{"id":"https://openalex.org/keywords/dynamics","display_name":"Dynamics (music)","score":0.645496666431427},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.6137953400611877},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.5121971964836121},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3894186317920685},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3299272358417511},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.15928223729133606}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6794341802597046},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.645496666431427},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.6137953400611877},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5121971964836121},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3894186317920685},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3299272358417511},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.15928223729133606},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscslp63861.2024.10800502","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscslp63861.2024.10800502","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 14th International Symposium on Chinese Spoken Language Processing (ISCSLP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2105809983","https://openalex.org/W2239141610","https://openalex.org/W2808081143","https://openalex.org/W2913218058","https://openalex.org/W2963710346","https://openalex.org/W3087647883","https://openalex.org/W3209059054","https://openalex.org/W3209984917","https://openalex.org/W4365395971","https://openalex.org/W4392967536","https://openalex.org/W6677618333","https://openalex.org/W6747043858","https://openalex.org/W6780218876","https://openalex.org/W6791353385"],"related_works":["https://openalex.org/W1636325709","https://openalex.org/W2724817865","https://openalex.org/W2400992695","https://openalex.org/W2382944939","https://openalex.org/W3188962172","https://openalex.org/W2772917594","https://openalex.org/W4312825515","https://openalex.org/W4306742369","https://openalex.org/W3126677997","https://openalex.org/W1610857240"],"abstract_inverted_index":{"The":[0,155],"integration":[1,46,110],"of":[2,16,32,47,69,111,126,157,164,178,187,194,208],"multimodal":[3,37,70,91,129,195],"information,":[4,71],"encompassing":[5],"visual\u2019":[6],"auditory,":[7],"and":[8,44,50,75],"textual":[9],"data,":[10],"has":[11],"significantly":[12,190],"propelled":[13],"the":[14,30,42,67,83,99,109,124,127,153,162,175,179,185,192,201,205,209],"field":[15],"emotion":[17,38,62,170,196],"recognition.":[18],"As":[19],"applications":[20],"increasingly":[21,27],"demand":[22],"personalized":[23,34,51,61,79,188],"solutions,":[24],"researchers":[25],"are":[26],"drawn":[28],"to":[29,97,107,122,151],"challenge":[31],"incorporating":[33],"factors":[35],"into":[36,168],"recognition":[39,63,171],"systems.":[40],"However,":[41],"effective":[43],"robust":[45],"diverse":[48],"modalities":[49],"information":[52,146,189],"remains":[53],"a":[54,60,90,115],"formidable":[55],"challenge.":[56],"This":[57],"paper":[58],"proposes":[59],"framework":[64],"that":[65,134,184],"leverages":[66],"fusion":[68],"including":[72],"visual,":[73],"textual,":[74],"auditory":[76],"inputs,":[77],"alongside":[78],"data.":[80],"To":[81],"address":[82],"temporal":[84,100,112,116,128,139],"discrepancies":[85],"inherent":[86],"in":[87,161,204],"different":[88],"modalities,":[89],"adaptive":[92],"alignment":[93],"module":[94,119,148],"is":[95,120,149],"introduced":[96],"harmonize":[98],"variances":[101],"across":[102],"various":[103],"feature":[104],"spaces.":[105],"Furthermore,":[106],"enhance":[108],"modal":[113,132],"features,":[114],"hybrid":[117],"attention":[118],"employed":[121],"distill":[123],"essence":[125],"features.":[130,154],"For":[131],"features":[133,167],"do":[135],"not":[136],"inherently":[137],"possess":[138],"characteristics,":[140],"such":[141],"as":[142,198],"personality":[143],"traits,":[144],"an":[145,169],"compression":[147],"utilized":[150],"encapsulate":[152],"culmination":[156],"these":[158],"processes":[159],"results":[160,182],"input":[163],"all":[165],"condensed":[166],"module,":[172],"thereby":[173],"yielding":[174],"emotional":[176],"score":[177],"sample.":[180],"Experimental":[181],"demonstrate":[183],"incorporation":[186],"bolsters":[191],"performance":[193],"recognition,":[197],"evidenced":[199],"by":[200],"method's":[202],"championship":[203],"track":[206],"2":[207],"competition.":[210]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}