{"id":"https://openalex.org/W4410611208","doi":"https://doi.org/10.1007/s10791-025-09596-0","title":"Hybrid CNN-transformer architecture for enhanced EEG-based emotion recognition: capturing local and global dependencies with self-attention mechanisms","display_name":"Hybrid CNN-transformer architecture for enhanced EEG-based emotion recognition: capturing local and global dependencies with self-attention mechanisms","publication_year":2025,"publication_date":"2025-05-22","ids":{"openalex":"https://openalex.org/W4410611208","doi":"https://doi.org/10.1007/s10791-025-09596-0"},"language":"en","primary_location":{"id":"doi:10.1007/s10791-025-09596-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10791-025-09596-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10791-025-09596-0.pdf","source":{"id":"https://openalex.org/S5407036663","display_name":"Discover Computing","issn_l":"2948-2992","issn":["2948-2992"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://link.springer.com/content/pdf/10.1007/s10791-025-09596-0.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Kasthuri Devarajan","orcid":null},"institutions":[{"id":"https://openalex.org/I1330855593","display_name":"Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology","ror":"https://ror.org/05bc5bx80","country_code":"IN","type":"education","lineage":["https://openalex.org/I1330855593"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Kasthuri Devarajan","raw_affiliation_strings":["Department of Electronics and Communication Engineering, Vel Tech Rangarajan Dr Sagunthala R & D Institute of Science and Technology, Chennai, Tamilnadu, 600062, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, Vel Tech Rangarajan Dr Sagunthala R & D Institute of Science and Technology, Chennai, Tamilnadu, 600062, India","institution_ids":["https://openalex.org/I1330855593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100652614","display_name":"P. Suresh","orcid":"https://orcid.org/0000-0002-0488-972X"},"institutions":[{"id":"https://openalex.org/I112982808","display_name":"Universiti Sains Islam Malaysia","ror":"https://ror.org/020ast312","country_code":"MY","type":"education","lineage":["https://openalex.org/I112982808"]},{"id":"https://openalex.org/I1330855593","display_name":"Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology","ror":"https://ror.org/05bc5bx80","country_code":"IN","type":"education","lineage":["https://openalex.org/I1330855593"]}],"countries":["IN","MY"],"is_corresponding":false,"raw_author_name":"Suresh Ponnan","raw_affiliation_strings":["Department of Electronics and Communication Engineering, Vel Tech Rangarajan Dr Sagunthala R & D Institute of Science and Technology, Chennai, Tamilnadu, 600062, India","Faculty of Science and Technology, University Sains Islam Malaysia, 71800, Nilai, Negeri Sembilan, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, Vel Tech Rangarajan Dr Sagunthala R & D Institute of Science and Technology, Chennai, Tamilnadu, 600062, India","institution_ids":["https://openalex.org/I1330855593"]},{"raw_affiliation_string":"Faculty of Science and Technology, University Sains Islam Malaysia, 71800, Nilai, Negeri Sembilan, Malaysia","institution_ids":["https://openalex.org/I112982808"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110809311","display_name":"Sundresan Perumal","orcid":null},"institutions":[{"id":"https://openalex.org/I112982808","display_name":"Universiti Sains Islam Malaysia","ror":"https://ror.org/020ast312","country_code":"MY","type":"education","lineage":["https://openalex.org/I112982808"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Sundresan Perumal","raw_affiliation_strings":["Faculty of Science and Technology, University Sains Islam Malaysia, 71800, Nilai, Negeri Sembilan, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Science and Technology, University Sains Islam Malaysia, 71800, Nilai, Negeri Sembilan, Malaysia","institution_ids":["https://openalex.org/I112982808"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1330855593"],"apc_list":null,"apc_paid":null,"fwci":24.2496,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":{"value":0.99684633,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"28","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9987999796867371,"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/T10057","display_name":"Face and Expression Recognition","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/electroencephalography","display_name":"Electroencephalography","score":0.6816650629043579},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.6057398319244385},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6000363826751709},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.558700442314148},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.49369415640830994},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.45567071437835693},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39744406938552856},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39626115560531616},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2726864218711853},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.22007402777671814},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18318888545036316},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.1250990629196167},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.0818290114402771},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06216633319854736}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6816650629043579},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.6057398319244385},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6000363826751709},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.558700442314148},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.49369415640830994},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.45567071437835693},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39744406938552856},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39626115560531616},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2726864218711853},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.22007402777671814},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18318888545036316},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.1250990629196167},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0818290114402771},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06216633319854736},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10791-025-09596-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10791-025-09596-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10791-025-09596-0.pdf","source":{"id":"https://openalex.org/S5407036663","display_name":"Discover Computing","issn_l":"2948-2992","issn":["2948-2992"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Computing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10791-025-09596-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10791-025-09596-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10791-025-09596-0.pdf","source":{"id":"https://openalex.org/S5407036663","display_name":"Discover Computing","issn_l":"2948-2992","issn":["2948-2992"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Computing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410611208.pdf","grobid_xml":"https://content.openalex.org/works/W4410611208.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W2002055708","https://openalex.org/W2158419735","https://openalex.org/W2553862339","https://openalex.org/W2788007871","https://openalex.org/W3006705189","https://openalex.org/W3008039831","https://openalex.org/W3168997536","https://openalex.org/W4205343537","https://openalex.org/W4206706211","https://openalex.org/W4234390874","https://openalex.org/W4285410993","https://openalex.org/W4292829111","https://openalex.org/W4308917750","https://openalex.org/W4318566866","https://openalex.org/W4319990494","https://openalex.org/W4383273343","https://openalex.org/W4385304038","https://openalex.org/W4385752950","https://openalex.org/W4385781891","https://openalex.org/W4386570719","https://openalex.org/W4386850182","https://openalex.org/W4387338457","https://openalex.org/W4390877321","https://openalex.org/W4392662567","https://openalex.org/W4404625592"],"related_works":["https://openalex.org/W2922348724","https://openalex.org/W200322357","https://openalex.org/W2130428257","https://openalex.org/W4308951944","https://openalex.org/W2057366091","https://openalex.org/W4312960290","https://openalex.org/W2049513647","https://openalex.org/W2988848585","https://openalex.org/W3126677997","https://openalex.org/W1610857240"],"abstract_inverted_index":{"Conventional":[0],"EEG-based":[1],"modeling":[2],"structures":[3],"struggle":[4],"to":[5],"effectively":[6],"process":[7],"the":[8,28,52,84,90,107],"combination":[9],"of":[10,54,83,133],"spatial":[11,19,69],"information":[12],"and":[13,73,125,138],"temporal":[14],"data.":[15],"It":[16],"can":[17],"detect":[18],"patterns":[20,34],"but":[21,36],"cannot":[22],"track":[23],"extended":[24],"neural":[25],"dependencies.":[26],"On":[27],"other":[29,114],"hand,":[30],"transformers":[31],"understand":[32],"global":[33,78],"well":[35],"may":[37],"overlook":[38],"fine-grained":[39],"local":[40],"relationships.":[41],"In":[42],"this":[43],"paper,":[44],"presents":[45],"a":[46],"hybrid":[47],"CNN-transformer":[48],"architecture":[49,66,86],"that":[50,103],"combines":[51],"strengths":[53],"both":[55],"data,":[56],"specially":[57],"designed":[58],"for":[59,77,141],"emotion":[60,135],"recognition":[61],"from":[62,98],"EEG":[63,95],"signals.":[64],"This":[65],"improves":[67],"CNNs\u2019":[68],"pattern":[70,79],"detection":[71],"capabilities":[72],"transformers\u2019":[74],"self-attention":[75],"mechanism":[76],"understanding.":[80],"The":[81],"performance":[82,131],"proposed":[85],"is":[87,111],"evaluated":[88],"using":[89],"DEAP":[91,108],"dataset,":[92],"comprising":[93],"40":[94],"sessions":[96],"collected":[97],"32":[99],"subjects.":[100],"Results":[101],"convey":[102],"87%":[104],"accuracy":[105],"on":[106],"dataset":[109],"which":[110],"outperformed":[112],"than":[113],"models":[115],"include":[116],"AlexNet":[117],"(83.50%),":[118],"VGG-16":[119],"(85.00%),":[120,124],"ResNet-50":[121],"(85.50%),":[122],"GoogleNet":[123],"MobileNetV2":[126],"(86.00%).":[127],"Also,":[128],"maintains":[129],"high":[130],"regardless":[132],"changing":[134],"intensity":[136],"levels":[137],"demonstrates":[139],"robustness":[140],"practical":[142],"applications.":[143]},"counts_by_year":[{"year":2026,"cited_by_count":14},{"year":2025,"cited_by_count":8}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}