{"id":"https://openalex.org/W7126166151","doi":"https://doi.org/10.1109/iconat66879.2025.11362773","title":"EEG-Based Attention and Cognitive State Classification Using Optimized CNN Model for Neurofeedback Applications","display_name":"EEG-Based Attention and Cognitive State Classification Using Optimized CNN Model for Neurofeedback Applications","publication_year":2025,"publication_date":"2025-09-19","ids":{"openalex":"https://openalex.org/W7126166151","doi":"https://doi.org/10.1109/iconat66879.2025.11362773"},"language":"en","primary_location":{"id":"doi:10.1109/iconat66879.2025.11362773","doi":"https://doi.org/10.1109/iconat66879.2025.11362773","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iconat66879.2025.11362773","pdf_url":null,"source":{"id":"https://openalex.org/S4363607850","display_name":"International Conference for Advancement in Technology (ICONAT)","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":"2025 IEEE 4th International Conference for Advancement in Technology (ICONAT)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5118613399","display_name":"Umarani Bharamanaikar","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I3132975163","display_name":"KLE Technological University","ror":"https://ror.org/04yh52k23","country_code":"IN","type":"education","lineage":["https://openalex.org/I3132975163"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Umarani Bharamanaikar","raw_affiliation_strings":["KLE Technological University, Dr. MSSCET,Department of Computer Science and Engineering(AI),Belagavi,Karnataka,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KLE Technological University, Dr. MSSCET,Department of Computer Science and Engineering(AI),Belagavi,Karnataka,India","institution_ids":["https://openalex.org/I3132975163"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124429968","display_name":"Bhakti Malwankar","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I3132975163","display_name":"KLE Technological University","ror":"https://ror.org/04yh52k23","country_code":"IN","type":"education","lineage":["https://openalex.org/I3132975163"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Bhakti Malwankar","raw_affiliation_strings":["KLE Technological University, Dr. MSSCET,Department of Computer Science and Engineering(AI),Belagavi,Karnataka,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KLE Technological University, Dr. MSSCET,Department of Computer Science and Engineering(AI),Belagavi,Karnataka,India","institution_ids":["https://openalex.org/I3132975163"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124406576","display_name":"Praneeta Marakatti","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I3132975163","display_name":"KLE Technological University","ror":"https://ror.org/04yh52k23","country_code":"IN","type":"education","lineage":["https://openalex.org/I3132975163"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Praneeta Marakatti","raw_affiliation_strings":["KLE Technological University, Dr. MSSCET,Department of Computer Science and Engineering(AI),Belagavi,Karnataka,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KLE Technological University, Dr. MSSCET,Department of Computer Science and Engineering(AI),Belagavi,Karnataka,India","institution_ids":["https://openalex.org/I3132975163"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124373566","display_name":"Swayam Halsikar","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I3132975163","display_name":"KLE Technological University","ror":"https://ror.org/04yh52k23","country_code":"IN","type":"education","lineage":["https://openalex.org/I3132975163"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Swayam Halsikar","raw_affiliation_strings":["KLE Technological University, Dr. MSSCET,Department of Computer Science and Engineering(AI),Belagavi,Karnataka,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KLE Technological University, Dr. MSSCET,Department of Computer Science and Engineering(AI),Belagavi,Karnataka,India","institution_ids":["https://openalex.org/I3132975163"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076142613","display_name":"Salma S. Shahapur","orcid":"https://orcid.org/0000-0003-1864-0084","observed_orcids":["https://orcid.org/0000-0003-1864-0084"]},"institutions":[{"id":"https://openalex.org/I3132975163","display_name":"KLE Technological University","ror":"https://ror.org/04yh52k23","country_code":"IN","type":"education","lineage":["https://openalex.org/I3132975163"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Salma Shahapur","raw_affiliation_strings":["KLE Technological University, Dr. MSSCET,Department of Computer Science and Engineering(AI),Belagavi,Karnataka,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KLE Technological University, Dr. MSSCET,Department of Computer Science and Engineering(AI),Belagavi,Karnataka,India","institution_ids":["https://openalex.org/I3132975163"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044625563","display_name":"Prema T. Akkasaligar","orcid":"https://orcid.org/0000-0002-2214-9389","observed_orcids":["https://orcid.org/0000-0002-2214-9389"]},"institutions":[{"id":"https://openalex.org/I3132975163","display_name":"KLE Technological University","ror":"https://ror.org/04yh52k23","country_code":"IN","type":"education","lineage":["https://openalex.org/I3132975163"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Prema T.Akkasaligar","raw_affiliation_strings":["KLE Technological University, Dr. MSSCET,Department of Computer Science and Engineering(AI),Belagavi,Karnataka,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KLE Technological University, Dr. MSSCET,Department of Computer Science and Engineering(AI),Belagavi,Karnataka,India","institution_ids":["https://openalex.org/I3132975163"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I3132975163"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9965999722480774,"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":0.9965999722480774,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.0026000000070780516,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":9.999999747378752e-05,"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/eeg-classification","display_name":"EEG classification","score":0.968999981880188},{"id":"https://openalex.org/keywords/attention-detection","display_name":"attention detection","score":0.6629999876022339},{"id":"https://openalex.org/keywords/cognitive-load","display_name":"cognitive load","score":0.7739999890327454},{"id":"https://openalex.org/keywords/mental-state-classification","display_name":"mental state classification","score":0.8970000147819519},{"id":"https://openalex.org/keywords/neurofeedback","display_name":"neurofeedback","score":0.8799999952316284},{"id":"https://openalex.org/keywords/cnn-transformer","display_name":"CNN-Transformer","score":0.8539999723434448},{"id":"https://openalex.org/keywords/real-time-eeg","display_name":"real-time EEG","score":0.4779999852180481},{"id":"https://openalex.org/keywords/mobile-deployment","display_name":"mobile deployment","score":0.6669999957084656},{"id":"https://openalex.org/keywords/tensorflow-lite","display_name":"TensorFlow Lite","score":0.9259999990463257},{"id":"https://openalex.org/keywords/driver-attention-monitoring","display_name":"driver attention monitoring","score":0.7549999952316284},{"id":"https://openalex.org/keywords/educational-monitoring","display_name":"educational monitoring","score":0.5090000033378601}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7418000102043152},{"id":"https://openalex.org/C2434490","wikidata":"https://www.wikidata.org/wiki/Q1306920","display_name":"Neurofeedback","level":3,"score":0.6845999956130981},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.637499988079071},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6208999752998352},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.5367000102996826},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.5054000020027161},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4986000061035156},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4672999978065491},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.44200000166893005},{"id":"https://openalex.org/C2779429828","wikidata":"https://www.wikidata.org/wiki/Q3968640","display_name":"Mental state","level":2,"score":0.4275999963283539},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.424699991941452},{"id":"https://openalex.org/C61641136","wikidata":"https://www.wikidata.org/wiki/Q1107019","display_name":"Cognitive load","level":3,"score":0.388700008392334},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3797000050544739},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3792000114917755},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36469998955726624},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3253999948501587},{"id":"https://openalex.org/C54808283","wikidata":"https://www.wikidata.org/wiki/Q6918191","display_name":"Motor imagery","level":4,"score":0.3116999864578247},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.2842000126838684},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.257099986076355}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iconat66879.2025.11362773","doi":"https://doi.org/10.1109/iconat66879.2025.11362773","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iconat66879.2025.11362773","pdf_url":null,"source":{"id":"https://openalex.org/S4363607850","display_name":"International Conference for Advancement in Technology (ICONAT)","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":"2025 IEEE 4th International Conference for Advancement in Technology (ICONAT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4043000042438507,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2559463885","https://openalex.org/W2946884143","https://openalex.org/W2954214015","https://openalex.org/W3008527517","https://openalex.org/W3207383179","https://openalex.org/W3210385189","https://openalex.org/W4404296372"],"related_works":["https://openalex.org/W3170048064","https://openalex.org/W4416963382","https://openalex.org/W7125590785","https://openalex.org/W4414216756","https://openalex.org/W4410077225","https://openalex.org/W7116835734","https://openalex.org/W4399475344","https://openalex.org/W4402727386","https://openalex.org/W4385689176","https://openalex.org/W4328028226"],"abstract_inverted_index":{"This":[0,90],"article":[1],"is":[2],"proposing":[3],"an":[4],"EEG":[5,21,99],"classification":[6,65],"system":[7],"for":[8,85,104],"real-time":[9],"mental":[10,59],"state":[11,60],"and":[12,28,32,39,61,75,87,110],"cognitive":[13,62],"load":[14,63],"detection":[15],"based":[16],"on":[17,77,101],"deep":[18],"learning":[19],"models.":[20],"data":[22],"from":[23],"15":[24],"volunteers":[25],"were":[26,42],"acquired":[27],"preprocessed":[29],"using":[30,66],"filtering":[31],"feature":[33],"extraction.":[34],"Three":[35],"models,":[36],"CNN,":[37],"CNN-Transformer,":[38],"Enhanced":[40],"RCNN,":[41],"tried":[43],"out.":[44],"Out":[45],"of":[46,52,95],"the":[47,49,58,67,93],"three,":[48],"highest":[50],"accuracy":[51],"92.07":[53],"%":[54],"was":[55,73],"obtained":[56],"in":[57,107],"level":[64],"CNN-Transformer":[68],"model.":[69],"The":[70],"chosen":[71],"model":[72],"quantized":[74],"run":[76],"a":[78],"mobile":[79,102],"platform":[80],"with":[81],"TensorFlow":[82],"Lite,":[83],"allowing":[84],"portable":[86],"efficient":[88],"neurofeedback.":[89],"work":[91],"shows":[92],"promise":[94],"running":[96],"lightweight,":[97],"accurate":[98],"classifiers":[100],"platforms":[103],"real-world":[105],"application":[106],"educational":[108],"settings":[109],"monitoring":[111],"driver":[112],"attention.":[113]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-02-01T00:00:00"}