{"id":"https://openalex.org/W4415539569","doi":"https://doi.org/10.1145/3746027.3755389","title":"Real-Time EEG Emotion Recognition from Dynamic Mixed Spatiotemporal Graph Learning","display_name":"Real-Time EEG Emotion Recognition from Dynamic Mixed Spatiotemporal Graph Learning","publication_year":2025,"publication_date":"2025-10-25","ids":{"openalex":"https://openalex.org/W4415539569","doi":"https://doi.org/10.1145/3746027.3755389"},"language":null,"primary_location":{"id":"doi:10.1145/3746027.3755389","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3755389","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"conference-paper","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":null,"display_name":"Yue Pan","orcid":"https://orcid.org/0000-0002-7701-1299"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Pan","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-7701-1299","affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084968982","display_name":"Cunbo Li","orcid":"https://orcid.org/0000-0002-1954-6113"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Cunbo Li","raw_affiliation_strings":["University of Macau, Macau, China"],"raw_orcid":"https://orcid.org/0000-0002-1954-6113","affiliations":[{"raw_affiliation_string":"University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101907160","display_name":"Peiyang Li","orcid":"https://orcid.org/0000-0002-3937-2560"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peiyang Li","raw_affiliation_strings":["Chongqing University of Post and Telecommunications, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-3937-2560","affiliations":[{"raw_affiliation_string":"Chongqing University of Post and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003061872","display_name":"Fali Li","orcid":"https://orcid.org/0000-0002-2450-4591"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fali Li","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-2450-4591","affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042089544","display_name":"Feng Wan","orcid":"https://orcid.org/0000-0002-9359-0737"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Feng Wan","raw_affiliation_strings":["University of Macau, Macau, China"],"raw_orcid":"https://orcid.org/0000-0002-9359-0737","affiliations":[{"raw_affiliation_string":"University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102822593","display_name":"Dezhong Yao","orcid":"https://orcid.org/0000-0002-8042-879X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dezhong Yao","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-8042-879X","affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007077356","display_name":"Zehong Cao","orcid":"https://orcid.org/0000-0003-3656-0328"},"institutions":[{"id":"https://openalex.org/I5681781","display_name":"The University of Adelaide","ror":"https://ror.org/00892tw58","country_code":"AU","type":"education","lineage":["https://openalex.org/I5681781"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Zehong Cao","raw_affiliation_strings":["Adelaide University, Adelaide, Australia"],"raw_orcid":"https://orcid.org/0000-0003-3656-0328","affiliations":[{"raw_affiliation_string":"Adelaide University, Adelaide, Australia","institution_ids":["https://openalex.org/I5681781"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5119670098","display_name":"Peng Xu","orcid":"https://orcid.org/0009-0004-6198-8195"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Xu","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0009-0004-6198-8195","affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25532591,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5697","last_page":"5706"},"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9955000281333923,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/emotion-recognition","display_name":"Emotion recognition","score":0.7483000159263611},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.6992999911308289},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.6861000061035156},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5572999715805054},{"id":"https://openalex.org/keywords/emotion-classification","display_name":"Emotion classification","score":0.40139999985694885},{"id":"https://openalex.org/keywords/affective-computing","display_name":"Affective computing","score":0.3968000113964081},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.3874000012874603},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.3797000050544739}],"concepts":[{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.7483000159263611},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.705299973487854},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6992999911308289},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.6861000061035156},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5572999715805054},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5008999705314636},{"id":"https://openalex.org/C206310091","wikidata":"https://www.wikidata.org/wiki/Q750859","display_name":"Emotion classification","level":2,"score":0.40139999985694885},{"id":"https://openalex.org/C6438553","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Affective computing","level":2,"score":0.3968000113964081},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3874000012874603},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.3797000050544739},{"id":"https://openalex.org/C159246509","wikidata":"https://www.wikidata.org/wiki/Q5428725","display_name":"Factor graph","level":3,"score":0.37880000472068787},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.37720000743865967},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.37049999833106995},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34860000014305115},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.34279999136924744},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.33239999413490295},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32429999113082886},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3077999949455261},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.30329999327659607},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.2930999994277954},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2849999964237213},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.28290000557899475},{"id":"https://openalex.org/C2988148770","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion detection","level":3,"score":0.272599995136261}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3746027.3755389","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3755389","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","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":25,"referenced_works":["https://openalex.org/W1947251450","https://openalex.org/W1970727126","https://openalex.org/W2014022174","https://openalex.org/W2023994933","https://openalex.org/W2080966898","https://openalex.org/W2088252378","https://openalex.org/W2089572795","https://openalex.org/W2158787690","https://openalex.org/W2580887161","https://openalex.org/W2790404832","https://openalex.org/W2913846632","https://openalex.org/W2964288524","https://openalex.org/W2970007912","https://openalex.org/W3021632667","https://openalex.org/W3024961463","https://openalex.org/W3039075121","https://openalex.org/W3080253043","https://openalex.org/W3119503696","https://openalex.org/W3140416091","https://openalex.org/W3183340146","https://openalex.org/W3194836659","https://openalex.org/W4381785707","https://openalex.org/W4387955588","https://openalex.org/W4390989014","https://openalex.org/W4402363021"],"related_works":[],"abstract_inverted_index":{"Real-time":[0],"emotion":[1,16,43,65,78,134,139,143,162,191,205],"recognition":[2,17,206],"provides":[3,198],"promising":[4,200],"applications":[5],"for":[6,40,131,202],"mental":[7],"healthcare":[8],"monitoring":[9,144],"and":[10,29,34,50,110,114,141,164,207],"human-computer":[11],"interaction":[12],"design.":[13],"Electroencephalography":[14],"(EEG)":[15],"has":[18,182],"become":[19],"a":[20,37,199],"hot":[21],"topic":[22],"in":[23,61,71,94,170,186],"the":[24,48,95,101,115,126,151,157,179,187,195],"field":[25],"of":[26,53,160,168,189],"affective":[27],"computing":[28],"intelligent":[30],"brain-computer":[31],"interface":[32],"(BCI),":[33],"it":[35],"is":[36,121,214],"feasible":[38],"solution":[39,201],"achieving":[41,62],"real-time":[42,142,161,190,204],"recognition.":[44,192],"However,":[45],"due":[46],"to":[47,99,123],"uncertainty":[49],"individual":[51],"specificity":[52],"emotional":[54],"cognition,":[55],"there":[56],"are":[57],"still":[58],"some":[59],"challenges":[60],"efficient":[63,132],"online":[64,77,138,172],"decoding":[66,79,140,163],"applications.":[67,211],"To":[68],"address":[69],"this,":[70],"this":[72],"work,":[73],"we":[74,97],"propose":[75,98],"an":[76,166],"method":[80],"named":[81],"DMSGL":[82,153,181,197],"(Real-Time":[83],"EEG":[84,107,133],"Emotion":[85],"Recognition":[86],"from":[87,106],"Dynamic":[88],"Mixed":[89],"Spatiotemporal":[90],"Graph":[91],"Learning).":[92],"Specifically,":[93],"DMSGL,":[96],"explore":[100],"latent":[102],"emotion-related":[103],"graph":[104,129],"features":[105],"with":[108,118,175],"cognition-inspired":[109],"data-driven":[111],"learning":[112,120],"strategies,":[113],"temporal":[116],"analysis":[117],"attention":[119],"utilized":[122],"further":[124,208],"extract":[125],"robust":[127],"spatiotemporal":[128],"patterns":[130],"decoding.":[135],"Both":[136],"simulated":[137],"experimental":[145],"results":[146],"have":[147],"consistently":[148],"indicated":[149],"that":[150],"proposed":[152,180,196],"can":[154],"effectively":[155],"satisfy":[156],"application":[158],"requirements":[159],"achieves":[165],"accuracy":[167],"68.35%":[169],"real-world":[171],"scenarios.":[173],"Compared":[174],"other":[176],"baseline":[177],"methods,":[178],"improved":[183],"by":[184],"2-5%":[185],"scenario":[188],"In":[193],"conclusion,":[194],"realizing":[203],"exploring":[209],"related":[210],"Our":[212],"code":[213],"released":[215],"on":[216],"https://github.com/UESTC-BAC/DMSGL.":[217]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-25T00:00:00"}
