{"id":"https://openalex.org/W4303422666","doi":"https://doi.org/10.3389/fncom.2022.1019776","title":"EEG-based emotion recognition using hybrid CNN and LSTM classification","display_name":"EEG-based emotion recognition using hybrid CNN and LSTM classification","publication_year":2022,"publication_date":"2022-10-07","ids":{"openalex":"https://openalex.org/W4303422666","doi":"https://doi.org/10.3389/fncom.2022.1019776","pmid":"https://pubmed.ncbi.nlm.nih.gov/36277613"},"language":"en","primary_location":{"id":"doi:10.3389/fncom.2022.1019776","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fncom.2022.1019776","pdf_url":"https://www.frontiersin.org/articles/10.3389/fncom.2022.1019776/pdf","source":{"id":"https://openalex.org/S19778766","display_name":"Frontiers in Computational Neuroscience","issn_l":"1662-5188","issn":["1662-5188"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Computational Neuroscience","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.frontiersin.org/articles/10.3389/fncom.2022.1019776/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055895564","display_name":"Bhuvaneshwari Chakravarthi","orcid":null},"institutions":[{"id":"https://openalex.org/I51216347","display_name":"Anglia Ruskin University","ror":"https://ror.org/0009t4v78","country_code":"GB","type":"education","lineage":["https://openalex.org/I51216347"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Bhuvaneshwari Chakravarthi","raw_affiliation_strings":["School of Computing and Information Science, Faculty of Science and Engineering, Anglia Ruskin University, Cambridge, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Information Science, Faculty of Science and Engineering, Anglia Ruskin University, Cambridge, United Kingdom","institution_ids":["https://openalex.org/I51216347"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037222502","display_name":"Sin-Chun Ng","orcid":"https://orcid.org/0000-0002-2972-530X"},"institutions":[{"id":"https://openalex.org/I51216347","display_name":"Anglia Ruskin University","ror":"https://ror.org/0009t4v78","country_code":"GB","type":"education","lineage":["https://openalex.org/I51216347"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Sin-Chun Ng","raw_affiliation_strings":["School of Computing and Information Science, Faculty of Science and Engineering, Anglia Ruskin University, Cambridge, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Information Science, Faculty of Science and Engineering, Anglia Ruskin University, Cambridge, United Kingdom","institution_ids":["https://openalex.org/I51216347"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074402478","display_name":"M. R. Ezilarasan","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":false,"raw_author_name":"M. R. Ezilarasan","raw_affiliation_strings":["Department of Electronics and Communication Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, 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, India","institution_ids":["https://openalex.org/I1330855593"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054221120","display_name":"Man-Fai Leung","orcid":"https://orcid.org/0000-0002-7753-0136"},"institutions":[{"id":"https://openalex.org/I51216347","display_name":"Anglia Ruskin University","ror":"https://ror.org/0009t4v78","country_code":"GB","type":"education","lineage":["https://openalex.org/I51216347"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Man-Fai Leung","raw_affiliation_strings":["School of Computing and Information Science, Faculty of Science and Engineering, Anglia Ruskin University, Cambridge, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Information Science, Faculty of Science and Engineering, Anglia Ruskin University, Cambridge, United Kingdom","institution_ids":["https://openalex.org/I51216347"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5037222502"],"corresponding_institution_ids":["https://openalex.org/I51216347"],"apc_list":{"value":3295,"currency":"USD","value_usd":3295},"apc_paid":{"value":3295,"currency":"USD","value_usd":3295},"fwci":15.2758,"has_fulltext":true,"cited_by_count":174,"citation_normalized_percentile":{"value":0.99630056,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"16","issue":null,"first_page":"1019776","last_page":"1019776"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9987999796867371,"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"}},"topics":[{"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9958999752998352,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.7412524223327637},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.547075629234314},{"id":"https://openalex.org/keywords/feeling","display_name":"Feeling","score":0.5240740180015564},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.48489266633987427},{"id":"https://openalex.org/keywords/masking","display_name":"Masking (illustration)","score":0.4402582049369812},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4241051971912384},{"id":"https://openalex.org/keywords/emotion-classification","display_name":"Emotion classification","score":0.4221142530441284},{"id":"https://openalex.org/keywords/traumatic-stress","display_name":"Traumatic stress","score":0.4164661169052124},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.283577561378479},{"id":"https://openalex.org/keywords/clinical-psychology","display_name":"Clinical psychology","score":0.15559035539627075},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.08486270904541016}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7412524223327637},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.547075629234314},{"id":"https://openalex.org/C122980154","wikidata":"https://www.wikidata.org/wiki/Q205555","display_name":"Feeling","level":2,"score":0.5240740180015564},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.48489266633987427},{"id":"https://openalex.org/C2777402240","wikidata":"https://www.wikidata.org/wiki/Q6783436","display_name":"Masking (illustration)","level":2,"score":0.4402582049369812},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4241051971912384},{"id":"https://openalex.org/C206310091","wikidata":"https://www.wikidata.org/wiki/Q750859","display_name":"Emotion classification","level":2,"score":0.4221142530441284},{"id":"https://openalex.org/C2778159538","wikidata":"https://www.wikidata.org/wiki/Q16920843","display_name":"Traumatic stress","level":2,"score":0.4164661169052124},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.283577561378479},{"id":"https://openalex.org/C70410870","wikidata":"https://www.wikidata.org/wiki/Q199906","display_name":"Clinical psychology","level":1,"score":0.15559035539627075},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.08486270904541016},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.3389/fncom.2022.1019776","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fncom.2022.1019776","pdf_url":"https://www.frontiersin.org/articles/10.3389/fncom.2022.1019776/pdf","source":{"id":"https://openalex.org/S19778766","display_name":"Frontiers in Computational Neuroscience","issn_l":"1662-5188","issn":["1662-5188"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Computational Neuroscience","raw_type":"journal-article"},{"id":"pmid:36277613","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36277613","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in computational neuroscience","raw_type":null},{"id":"pmh:oai:arro.anglia.ac.uk:707963","is_oa":false,"landing_page_url":"https://arro.anglia.ac.uk/id/eprint/707963/11/Chakravarthi_2022.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306402145","display_name":"Anglia Ruskin Research Online (Anglia Ruskin University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I51216347","host_organization_name":"Anglia Ruskin University","host_organization_lineage":["https://openalex.org/I51216347"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},{"id":"pmh:oai:doaj.org/article:bad3da2d21ec4831b38dcc556a1c78d6","is_oa":true,"landing_page_url":"https://doaj.org/article/bad3da2d21ec4831b38dcc556a1c78d6","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":"Frontiers in Computational Neuroscience, Vol 16 (2022)","raw_type":"article"},{"id":"pmh:oai:figshare.com:article/23782500","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/EEG-based_Emotion_Recognition_Using_Hybrid_CNN_and_LSTM_Classification/23782500","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9585893","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9585893","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Front Comput Neurosci","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3389/fncom.2022.1019776","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fncom.2022.1019776","pdf_url":"https://www.frontiersin.org/articles/10.3389/fncom.2022.1019776/pdf","source":{"id":"https://openalex.org/S19778766","display_name":"Frontiers in Computational Neuroscience","issn_l":"1662-5188","issn":["1662-5188"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Computational Neuroscience","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4303422666.pdf","grobid_xml":"https://content.openalex.org/works/W4303422666.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W751388425","https://openalex.org/W1989621014","https://openalex.org/W1991318149","https://openalex.org/W2003238582","https://openalex.org/W2042345458","https://openalex.org/W2081420711","https://openalex.org/W2084010076","https://openalex.org/W2086543536","https://openalex.org/W2102998034","https://openalex.org/W2138573425","https://openalex.org/W2149628368","https://openalex.org/W2317102674","https://openalex.org/W2753428045","https://openalex.org/W2767984589","https://openalex.org/W2882866310","https://openalex.org/W2908603469","https://openalex.org/W2908954394","https://openalex.org/W2943374569","https://openalex.org/W2952066702","https://openalex.org/W3081599307","https://openalex.org/W3087220290","https://openalex.org/W3127746873","https://openalex.org/W3138369982","https://openalex.org/W3153380589","https://openalex.org/W3156005160","https://openalex.org/W3169258360","https://openalex.org/W3181486316","https://openalex.org/W3181787448","https://openalex.org/W3186745756","https://openalex.org/W3213929680","https://openalex.org/W4205691354","https://openalex.org/W4205829078","https://openalex.org/W4205916405","https://openalex.org/W4221017708","https://openalex.org/W4226410298","https://openalex.org/W4226507777","https://openalex.org/W4282835295","https://openalex.org/W4283320336","https://openalex.org/W4285810602"],"related_works":["https://openalex.org/W2291261743","https://openalex.org/W1540119434","https://openalex.org/W4229598134","https://openalex.org/W2335262298","https://openalex.org/W2765982327","https://openalex.org/W2071657884","https://openalex.org/W213396585","https://openalex.org/W4237671428","https://openalex.org/W2068152137","https://openalex.org/W2358660055"],"abstract_inverted_index":{"Emotions":[0],"are":[1,51,73,102,129],"a":[2,9,195],"mental":[3,19],"state":[4],"that":[5,120],"is":[6,83],"accompanied":[7],"by":[8,147,157,202],"distinct":[10],"physiologic":[11],"rhythm,":[12],"as":[13,15],"well":[14],"physical,":[16],"behavioral,":[17],"and":[18,45,53,61,79,92,94,140,154,178],"changes.":[20],"In":[21],"the":[22,37,41,56,103,107,111,121,148,158,161,167,169,179,188,191,204],"latest":[23],"days,":[24],"physiological":[25],"activity":[26],"has":[27],"been":[28],"used":[29],"to":[30,85,88,165,174],"study":[31,35,163],"emotional":[32,145],"reactions.":[33],"This":[34],"describes":[36],"electroencephalography":[38],"(EEG)":[39],"signals,":[40],"brain":[42,97],"wave":[43],"pattern,":[44],"emotion":[46],"analysis":[47],"all":[48],"of":[49,58,105,110,143,198,200],"these":[50],"interrelated":[52],"based":[54],"on":[55],"consequences":[57],"human":[59,112],"behavior":[60,146],"Post-Traumatic":[62],"Stress":[63],"Disorder":[64],"(PTSD).":[65],"Post-traumatic":[66],"stress":[67],"disorder":[68],"effects":[69],"for":[70,116],"long-term":[71],"illness":[72],"associated":[74],"with":[75,183,187],"considerable":[76],"suffering,":[77],"impairment,":[78],"social/emotional":[80],"impairment.":[81],"PTSD":[82],"connected":[84],"subcortical":[86],"responses":[87],"injury":[89],"memories,":[90],"thoughts,":[91],"emotions":[93],"alterations":[95],"in":[96],"circuitry.":[98],"Predominantly":[99],"EEG":[100],"signals":[101],"way":[104],"examining":[106],"electrical":[108],"potential":[109],"feelings":[113],"cum":[114],"expression":[115],"every":[117],"changing":[118],"phenomenon":[119],"individual":[122],"faces.":[123],"When":[124],"going":[125],"through":[126],"literature":[127],"there":[128],"some":[130,137],"lacunae":[131],"while":[132],"analyzing":[133],"emotions.":[134],"There":[135],"exist":[136],"reliability":[138],"issues":[139],"also":[141],"masking":[142],"real":[144],"victims.":[149],"Keeping":[150],"this":[151,176],"research":[152],"gap":[153],"hindrance":[155],"faced":[156],"previous":[159],"researchers":[160],"present":[162],"aims":[164],"fulfill":[166],"requirements,":[168],"efforts":[170],"can":[171],"be":[172],"made":[173],"overcome":[175],"problem,":[177],"proposed":[180,192],"automated":[181],"CNN-LSTM":[182],"ResNet-152":[184],"algorithm.":[185,208],"Compared":[186],"existing":[189],"techniques,":[190],"techniques":[193],"achieved":[194],"higher":[196],"level":[197],"accuracy":[199],"98%":[201],"applying":[203],"hybrid":[205],"deep":[206],"learning":[207]},"counts_by_year":[{"year":2026,"cited_by_count":26},{"year":2025,"cited_by_count":68},{"year":2024,"cited_by_count":54},{"year":2023,"cited_by_count":22},{"year":2022,"cited_by_count":4}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}