{"id":"https://openalex.org/W3207652202","doi":"https://doi.org/10.1145/3474085.3475701","title":"Simplifying Multimodal Emotion Recognition with Single Eye Movement Modality","display_name":"Simplifying Multimodal Emotion Recognition with Single Eye Movement Modality","publication_year":2021,"publication_date":"2021-10-17","ids":{"openalex":"https://openalex.org/W3207652202","doi":"https://doi.org/10.1145/3474085.3475701","mag":"3207652202"},"language":"en","primary_location":{"id":"doi:10.1145/3474085.3475701","doi":"https://doi.org/10.1145/3474085.3475701","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3474085.3475701","pdf_url":null,"source":{"id":"https://openalex.org/S4363608757","display_name":"ACM International Conference on Multimedia (ACM MM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM International Conference on Multimedia","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://digital.lib.washington.edu/bitstreams/9ed0014e-69c9-45a8-a5ff-a1b917dbfa05/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005286410","display_name":"Xu Yan","orcid":"https://orcid.org/0000-0003-2493-7693","observed_orcids":["https://orcid.org/0000-0003-2493-7693"]},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xu Yan","raw_affiliation_strings":["University of Washington, Seattle, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045300183","display_name":"Li-Ming Zhao","orcid":"https://orcid.org/0000-0002-1467-1230","observed_orcids":["https://orcid.org/0000-0002-1467-1230"]},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li-Ming Zhao","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, UNK, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, UNK, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040440605","display_name":"Bao\u2010Liang Lu","orcid":"https://orcid.org/0000-0001-8359-0058","observed_orcids":["https://orcid.org/0000-0001-8359-0058"]},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bao-Liang Lu","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, UNK, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, UNK, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.0061,"has_fulltext":true,"cited_by_count":38,"citation_normalized_percentile":{"value":0.95662704,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1057","last_page":"1063"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9990000128746033,"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":0.9990000128746033,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.0005000000237487257,"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"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/multimodal-emotion-recognition","display_name":"multimodal emotion recognition","score":0.9909999966621399},{"id":"https://openalex.org/keywords/eye-movement-signals","display_name":"eye movement signals","score":0.8289999961853027},{"id":"https://openalex.org/keywords/generative-adversarial-networks","display_name":"generative adversarial networks","score":0.8939999938011169},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"EEG","score":0.7160000205039978},{"id":"https://openalex.org/keywords/affective-computing","display_name":"affective computing","score":0.8040000200271606},{"id":"https://openalex.org/keywords/seed-dataset","display_name":"SEED dataset","score":0.7799999713897705},{"id":"https://openalex.org/keywords/emotion-classification","display_name":"emotion classification","score":0.7239999771118164}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7641682624816895},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.6291432976722717},{"id":"https://openalex.org/C2780910867","wikidata":"https://www.wikidata.org/wiki/Q1952416","display_name":"Multimodality","level":2,"score":0.5553954243659973},{"id":"https://openalex.org/C153050134","wikidata":"https://www.wikidata.org/wiki/Q760256","display_name":"Eye movement","level":2,"score":0.5433990359306335},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.5417682528495789},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5181571245193481},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.499422550201416},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.46787142753601074},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4535844624042511},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3514692783355713},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.136736661195755},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3474085.3475701","doi":"https://doi.org/10.1145/3474085.3475701","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3474085.3475701","pdf_url":null,"source":{"id":"https://openalex.org/S4363608757","display_name":"ACM International Conference on Multimedia (ACM MM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM International Conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:digital.lib.washington.edu:1773/49394","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/1773/49394","pdf_url":"https://digital.lib.washington.edu/bitstreams/9ed0014e-69c9-45a8-a5ff-a1b917dbfa05/download","source":{"id":"https://openalex.org/S4306401128","display_name":"ResearchWorks at the University of Washington (University of Washington)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I201448701","host_organization_name":"University of Washington","host_organization_lineage":["https://openalex.org/I201448701"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"}],"best_oa_location":{"id":"pmh:oai:digital.lib.washington.edu:1773/49394","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/1773/49394","pdf_url":"https://digital.lib.washington.edu/bitstreams/9ed0014e-69c9-45a8-a5ff-a1b917dbfa05/download","source":{"id":"https://openalex.org/S4306401128","display_name":"ResearchWorks at the University of Washington (University of Washington)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I201448701","host_organization_name":"University of Washington","host_organization_lineage":["https://openalex.org/I201448701"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3207652202.pdf","grobid_xml":"https://content.openalex.org/works/W3207652202.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W1813659000","https://openalex.org/W1970727126","https://openalex.org/W1978583880","https://openalex.org/W2055911634","https://openalex.org/W2069143585","https://openalex.org/W2074788634","https://openalex.org/W2085497785","https://openalex.org/W2088575594","https://openalex.org/W2140079265","https://openalex.org/W2143350951","https://openalex.org/W2157725122","https://openalex.org/W2164699598","https://openalex.org/W2184188583","https://openalex.org/W2187089797","https://openalex.org/W2405756170","https://openalex.org/W2407512993","https://openalex.org/W2510506994","https://openalex.org/W2525648609","https://openalex.org/W2625929003","https://openalex.org/W2776446922","https://openalex.org/W2786768213","https://openalex.org/W2790404832","https://openalex.org/W2926366943","https://openalex.org/W2945331847","https://openalex.org/W2962905870","https://openalex.org/W2968635608","https://openalex.org/W3022815981"],"related_works":["https://openalex.org/W4405936033","https://openalex.org/W7080294563","https://openalex.org/W7119102365","https://openalex.org/W4399995445","https://openalex.org/W4412972642","https://openalex.org/W4403023468","https://openalex.org/W4387092317","https://openalex.org/W7082382616","https://openalex.org/W4390971164","https://openalex.org/W7128798818"],"abstract_inverted_index":{"Multimodal":[0],"emotion":[1,65,88,133,163,184],"recognition":[2,66,185],"has":[3,170],"long":[4],"been":[5],"a":[6,22,96,104],"popular":[7],"topic":[8],"in":[9,67],"affective":[10],"computing":[11],"since":[12],"it":[13,115],"significantly":[14],"enhances":[15],"the":[16,27,39,50,61,81,84,92,120,144,168,171,175],"performance":[17,181],"compared":[18,152],"with":[19,131,139,155],"that":[20,136,167],"of":[21,29,38,55,63,87,107,118],"single":[23,105,145],"modality.":[24],"Among":[25],"all,":[26],"combination":[28],"electroencephalography":[30],"(EEG)":[31],"and":[32,47,53,83,114,158,188],"eye":[33,71,108,146],"movement":[34,72,147],"signals":[35,73],"is":[36,110,116],"one":[37],"most":[40],"attractive":[41],"practices":[42],"due":[43],"to":[44,77,153,173],"their":[45],"complementarity":[46],"objectivity.":[48],"However,":[49],"high":[51],"cost":[52],"inconvenience":[54],"EEG":[56],"signal":[57],"acquisition":[58],"severely":[59],"hamper":[60],"popularization":[62],"multimodal":[64,123,140],"practical":[68],"scenarios,":[69],"while":[70],"are":[74],"much":[75],"easier":[76],"acquire.":[78],"To":[79],"increase":[80],"feasibility":[82],"generalization":[85],"ability":[86],"decoding":[89],"without":[90,179],"compromising":[91],"performance,":[93],"we":[94],"propose":[95],"generative":[97],"adversarial":[98],"network-based":[99],"framework.":[100],"In":[101],"our":[102,137],"model,":[103],"modality":[106,148],"movements":[109],"used":[111],"as":[112],"input":[113,157],"capable":[117],"mapping":[119],"information":[121],"onto":[122],"features.":[124],"Experimental":[125],"results":[126],"on":[127,177],"SEED":[128],"series":[129],"datasets":[130],"different":[132],"categories":[134],"demonstrate":[135],"model":[138,169],"features":[141],"generated":[142],"by":[143],"maintains":[149],"competitive":[150],"accuracies":[151],"those":[154,161],"multimodality":[156],"drastically":[159],"outperforms":[160],"single-modal":[162],"classifiers.":[164],"This":[165],"illustrates":[166],"potential":[172],"reduce":[174],"dependence":[176],"multimodalities":[178],"sacrificing":[180],"which":[182],"makes":[183],"more":[186],"applicable":[187],"practicable.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2021-10-25T00:00:00"}
