{"id":"https://openalex.org/W4415124065","doi":"https://doi.org/10.1109/access.2025.3620677","title":"EEGEmotions-27: A Large-Scale EEG Dataset Annotated With 27 Fine-Grained Emotion Labels","display_name":"EEGEmotions-27: A Large-Scale EEG Dataset Annotated With 27 Fine-Grained Emotion Labels","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4415124065","doi":"https://doi.org/10.1109/access.2025.3620677"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3620677","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3620677","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3620677","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000627077","display_name":"Huy Tung Phuong","orcid":"https://orcid.org/0009-0003-6599-3357"},"institutions":[{"id":"https://openalex.org/I141371507","display_name":"Soongsil University","ror":"https://ror.org/017xnm587","country_code":"KR","type":"education","lineage":["https://openalex.org/I141371507"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Phuong Huy-Tung","raw_affiliation_strings":["Soongsil University, Seoul, South Korea","Soongsil University, South Korea"],"raw_orcid":"https://orcid.org/0009-0003-6599-3357","affiliations":[{"raw_affiliation_string":"Soongsil University, Seoul, South Korea","institution_ids":["https://openalex.org/I141371507"]},{"raw_affiliation_string":"Soongsil University, South Korea","institution_ids":["https://openalex.org/I141371507"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119647096","display_name":"Im Eun-Tack","orcid":null},"institutions":[{"id":"https://openalex.org/I141371507","display_name":"Soongsil University","ror":"https://ror.org/017xnm587","country_code":"KR","type":"education","lineage":["https://openalex.org/I141371507"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Im Eun-Tack","raw_affiliation_strings":["Soongsil University, Seoul, South Korea","Soongsil University, South Korea"],"raw_orcid":"https://orcid.org/0009-0004-8062-0564","affiliations":[{"raw_affiliation_string":"Soongsil University, Seoul, South Korea","institution_ids":["https://openalex.org/I141371507"]},{"raw_affiliation_string":"Soongsil University, South Korea","institution_ids":["https://openalex.org/I141371507"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119647097","display_name":"Oh Myeong-Seok","orcid":null},"institutions":[{"id":"https://openalex.org/I141371507","display_name":"Soongsil University","ror":"https://ror.org/017xnm587","country_code":"KR","type":"education","lineage":["https://openalex.org/I141371507"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Oh Myeong-Seok","raw_affiliation_strings":["Soongsil University, Seoul, South Korea","Soongsil University, South Korea"],"raw_orcid":"https://orcid.org/0009-0001-9468-0419","affiliations":[{"raw_affiliation_string":"Soongsil University, Seoul, South Korea","institution_ids":["https://openalex.org/I141371507"]},{"raw_affiliation_string":"Soongsil University, South Korea","institution_ids":["https://openalex.org/I141371507"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072647016","display_name":"Gwang-Yong Gim","orcid":"https://orcid.org/0000-0002-6921-1071"},"institutions":[{"id":"https://openalex.org/I141371507","display_name":"Soongsil University","ror":"https://ror.org/017xnm587","country_code":"KR","type":"education","lineage":["https://openalex.org/I141371507"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Gim Gwang-Yong","raw_affiliation_strings":["Soongsil University, Seoul, South Korea","Soongsil University, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-6921-1071","affiliations":[{"raw_affiliation_string":"Soongsil University, Seoul, South Korea","institution_ids":["https://openalex.org/I141371507"]},{"raw_affiliation_string":"Soongsil University, South Korea","institution_ids":["https://openalex.org/I141371507"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I141371507"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.0067,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.79832951,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"13","issue":null,"first_page":"176915","last_page":"176932"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9883999824523926,"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"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9883999824523926,"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/emotion-recognition","display_name":"Emotion recognition","score":0.7117999792098999},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.7106999754905701},{"id":"https://openalex.org/keywords/valence","display_name":"Valence (chemistry)","score":0.649399995803833},{"id":"https://openalex.org/keywords/emotion-classification","display_name":"Emotion classification","score":0.6258000135421753},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.48010000586509705},{"id":"https://openalex.org/keywords/affective-computing","display_name":"Affective computing","score":0.45579999685287476},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.41850000619888306}],"concepts":[{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.7117999792098999},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7106999754905701},{"id":"https://openalex.org/C168900304","wikidata":"https://www.wikidata.org/wiki/Q171407","display_name":"Valence (chemistry)","level":2,"score":0.649399995803833},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6438999772071838},{"id":"https://openalex.org/C206310091","wikidata":"https://www.wikidata.org/wiki/Q750859","display_name":"Emotion classification","level":2,"score":0.6258000135421753},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.48010000586509705},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47350001335144043},{"id":"https://openalex.org/C6438553","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Affective computing","level":2,"score":0.45579999685287476},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.4528000056743622},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.41850000619888306},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3625999987125397},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.358599990606308},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.32600000500679016},{"id":"https://openalex.org/C3020774634","wikidata":"https://www.wikidata.org/wiki/Q3113318","display_name":"Emotional valence","level":3,"score":0.30329999327659607},{"id":"https://openalex.org/C36951298","wikidata":"https://www.wikidata.org/wiki/Q379784","display_name":"Arousal","level":2,"score":0.2955999970436096},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2849000096321106},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27469998598098755},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.26649999618530273},{"id":"https://openalex.org/C120843803","wikidata":"https://www.wikidata.org/wiki/Q4955807","display_name":"Brain activity and meditation","level":3,"score":0.2524999976158142},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.25119999051094055}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3620677","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3620677","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b21eafc0ee5a466fb97f978737db2208","is_oa":true,"landing_page_url":"https://doaj.org/article/b21eafc0ee5a466fb97f978737db2208","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 176915-176932 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3620677","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3620677","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W72290999","https://openalex.org/W1947251450","https://openalex.org/W1960875266","https://openalex.org/W1964694219","https://openalex.org/W1966970123","https://openalex.org/W2001471243","https://openalex.org/W2002055708","https://openalex.org/W2003238582","https://openalex.org/W2011012772","https://openalex.org/W2062530052","https://openalex.org/W2065120678","https://openalex.org/W2099749875","https://openalex.org/W2100189108","https://openalex.org/W2107696655","https://openalex.org/W2109586655","https://openalex.org/W2117600088","https://openalex.org/W2117643870","https://openalex.org/W2118376908","https://openalex.org/W2122098299","https://openalex.org/W2143197238","https://openalex.org/W2146638240","https://openalex.org/W2149628368","https://openalex.org/W2165739616","https://openalex.org/W2165857685","https://openalex.org/W2169473752","https://openalex.org/W2185790271","https://openalex.org/W2234109583","https://openalex.org/W2268421884","https://openalex.org/W2419372661","https://openalex.org/W2502581702","https://openalex.org/W2507248126","https://openalex.org/W2530372971","https://openalex.org/W2580887161","https://openalex.org/W2588655148","https://openalex.org/W2595519346","https://openalex.org/W2599124244","https://openalex.org/W2752234108","https://openalex.org/W2765362197","https://openalex.org/W2765516705","https://openalex.org/W2766561669","https://openalex.org/W2786768213","https://openalex.org/W2787157782","https://openalex.org/W2792373412","https://openalex.org/W2801423304","https://openalex.org/W2891135799","https://openalex.org/W2893202050","https://openalex.org/W2897751982","https://openalex.org/W2911220936","https://openalex.org/W2912483755","https://openalex.org/W2914237854","https://openalex.org/W2914784346","https://openalex.org/W2921039157","https://openalex.org/W2942470984","https://openalex.org/W2954469285","https://openalex.org/W3006715270","https://openalex.org/W3006901344","https://openalex.org/W3011797309","https://openalex.org/W3017231556","https://openalex.org/W3096107564","https://openalex.org/W3112736871","https://openalex.org/W3119221111","https://openalex.org/W3127948325","https://openalex.org/W3128719470","https://openalex.org/W3145928148","https://openalex.org/W3153380589","https://openalex.org/W3213342150","https://openalex.org/W4210952000","https://openalex.org/W4220866631","https://openalex.org/W4220887861","https://openalex.org/W4298042908","https://openalex.org/W4313535057","https://openalex.org/W4389304323","https://openalex.org/W4404035266","https://openalex.org/W4410088545"],"related_works":[],"abstract_inverted_index":{"A":[0],"fundamental":[1],"debate":[2],"in":[3,61,93],"emotion":[4,50,87,115,149],"research":[5],"concerns":[6],"whether":[7],"emotions":[8,24],"should":[9],"be":[10],"conceptualized":[11],"as":[12,16,29],"dimensional":[13],"constructs":[14],"or":[15,25],"discrete":[17],"categories.":[18],"Conventional":[19],"models\u2014often":[20],"limited":[21],"to":[22,33,97],"basic":[23],"bipolar":[26],"dimensions":[27],"such":[28],"valence":[30],"and":[31,37,57,66],"arousal\u2014fail":[32],"capture":[34],"the":[35,63,105,108,130,144],"richness":[36],"subtlety":[38],"of":[39,68,107,124,147],"subjective":[40],"affective":[41,94],"experiences":[42],"elicited":[43],"by":[44],"emotional":[45,69],"stimuli.":[46],"Most":[47],"existing":[48],"EEG-based":[49],"datasets":[51],"are":[52],"built":[53],"upon":[54],"these":[55],"frameworks":[56],"therefore":[58],"exhibit":[59],"limitations":[60],"reflecting":[62],"full":[64],"complexity":[65],"diversity":[67],"states.":[70],"To":[71,103],"address":[72],"this":[73],"gap,":[74],"we":[75,110],"present":[76],"EEGEmotions-27,":[77],"a":[78,112,140],"novel":[79],"large-scale":[80],"EEG":[81,101,153],"dataset":[82],"annotated":[83],"with":[84],"27":[85],"fine-grained":[86,148],"categories,":[88],"offering":[89],"significantly":[90],"higher":[91],"resolution":[92],"representation":[95],"compared":[96],"currently":[98],"available":[99],"public":[100],"datasets.":[102],"evaluate":[104],"utility":[106],"dataset,":[109],"trained":[111],"deep":[113],"learning-based":[114],"classification":[116,122],"model,":[117],"which":[118],"achieved":[119],"an":[120],"average":[121],"accuracy":[123],"62.24%\u2014a":[125],"performance":[126],"level":[127],"substantially":[128],"exceeding":[129],"3.70%":[131],"chance":[132],"baseline":[133],"for":[134,143],"27-class":[135],"classification.":[136],"This":[137],"result":[138],"establishes":[139],"new":[141],"standard":[142],"challenging":[145],"task":[146],"recognition":[150],"using":[151],"consumer-grade":[152],"hardware.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-14T00:00:00"}
