{"id":"https://openalex.org/W2734337238","doi":"https://doi.org/10.1007/s40708-017-0069-3","title":"Emotion recognition based on EEG features in movie clips with channel selection","display_name":"Emotion recognition based on EEG features in movie clips with channel selection","publication_year":2017,"publication_date":"2017-07-15","ids":{"openalex":"https://openalex.org/W2734337238","doi":"https://doi.org/10.1007/s40708-017-0069-3","mag":"2734337238","pmid":"https://pubmed.ncbi.nlm.nih.gov/28711988"},"language":"en","primary_location":{"id":"doi:10.1007/s40708-017-0069-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40708-017-0069-3","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs40708-017-0069-3.pdf","source":{"id":"https://openalex.org/S2498492389","display_name":"Brain Informatics","issn_l":"2198-4018","issn":["2198-4018","2198-4026"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Brain Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007%2Fs40708-017-0069-3.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017496995","display_name":"Mehmet Sira\u00e7 \u00d6zerdem","orcid":"https://orcid.org/0000-0002-9368-8902"},"institutions":[{"id":"https://openalex.org/I123466251","display_name":"Dicle University","ror":"https://ror.org/0257dtg16","country_code":"TR","type":"education","lineage":["https://openalex.org/I123466251"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Mehmet Sira\u00e7 \u00d6zerdem","raw_affiliation_strings":["Electrical and Electronics Engineering, Dicle University, 21000, Diyarbak\u0131r, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Electronics Engineering, Dicle University, 21000, Diyarbak\u0131r, Turkey","institution_ids":["https://openalex.org/I123466251"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102953699","display_name":"Hasan Polat","orcid":"https://orcid.org/0000-0001-5535-4832"},"institutions":[{"id":"https://openalex.org/I140912994","display_name":"Mu\u015f Alparslan University","ror":"https://ror.org/009axq942","country_code":"TR","type":"education","lineage":["https://openalex.org/I140912994"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Hasan Polat","raw_affiliation_strings":["Electrical and Electronics Engineering, Mus Alparslan University, 49000, Mu\u015f, Turkey. hasanpolat1989@hotmail.com","Electrical and Electronics Engineering, Mus Alparslan University, 49000, Mu\u015f, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Electronics Engineering, Mus Alparslan University, 49000, Mu\u015f, Turkey. hasanpolat1989@hotmail.com","institution_ids":[]},{"raw_affiliation_string":"Electrical and Electronics Engineering, Mus Alparslan University, 49000, Mu\u015f, Turkey","institution_ids":["https://openalex.org/I140912994"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102953699"],"corresponding_institution_ids":["https://openalex.org/I140912994"],"apc_list":{"value":790,"currency":"GBP","value_usd":969},"apc_paid":{"value":790,"currency":"GBP","value_usd":969},"fwci":4.5201,"has_fulltext":true,"cited_by_count":136,"citation_normalized_percentile":{"value":0.95219327,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"4","issue":"4","first_page":"241","last_page":"252"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998999834060669,"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":0.9998999834060669,"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":0.995199978351593,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.7777930498123169},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.651333212852478},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6499965786933899},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.602156400680542},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5951685905456543},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.5900375247001648},{"id":"https://openalex.org/keywords/emotion-classification","display_name":"Emotion classification","score":0.5699048042297363},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5031012892723083},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5011036396026611},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.46716511249542236},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4218288064002991},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.41841423511505127},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2380782961845398}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7777930498123169},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.651333212852478},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6499965786933899},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.602156400680542},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5951685905456543},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.5900375247001648},{"id":"https://openalex.org/C206310091","wikidata":"https://www.wikidata.org/wiki/Q750859","display_name":"Emotion classification","level":2,"score":0.5699048042297363},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5031012892723083},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5011036396026611},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.46716511249542236},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4218288064002991},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.41841423511505127},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2380782961845398},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1007/s40708-017-0069-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40708-017-0069-3","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs40708-017-0069-3.pdf","source":{"id":"https://openalex.org/S2498492389","display_name":"Brain Informatics","issn_l":"2198-4018","issn":["2198-4018","2198-4026"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Brain Informatics","raw_type":"journal-article"},{"id":"pmid:28711988","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28711988","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":"Brain informatics","raw_type":null},{"id":"pmh:oai:akademikarsiv.alparslan.edu.tr:20.500.12639/1474","is_oa":true,"landing_page_url":"https://hdl.handle.net/20.500.12639/1474","pdf_url":null,"source":{"id":"https://openalex.org/S7407055300","display_name":"DSpace@M\u015eU","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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"pmh:oai:doaj.org/article:fb3c18b7a15440f49c775d350a90ec06","is_oa":true,"landing_page_url":"https://doaj.org/article/fb3c18b7a15440f49c775d350a90ec06","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":"Brain Informatics, Vol 4, Iss 4, Pp 241-252 (2017)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:4633175","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5709281","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"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":null,"raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1007/s40708-017-0069-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40708-017-0069-3","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs40708-017-0069-3.pdf","source":{"id":"https://openalex.org/S2498492389","display_name":"Brain Informatics","issn_l":"2198-4018","issn":["2198-4018","2198-4026"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Brain Informatics","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.4300000071525574,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2734337238.pdf","grobid_xml":"https://content.openalex.org/works/W2734337238.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1569512666","https://openalex.org/W1573342376","https://openalex.org/W2002055708","https://openalex.org/W2003193431","https://openalex.org/W2006774342","https://openalex.org/W2009926717","https://openalex.org/W2010796033","https://openalex.org/W2018244852","https://openalex.org/W2023335485","https://openalex.org/W2028070629","https://openalex.org/W2029615681","https://openalex.org/W2035642468","https://openalex.org/W2072787788","https://openalex.org/W2078671978","https://openalex.org/W2081700482","https://openalex.org/W2081895431","https://openalex.org/W2095905361","https://openalex.org/W2097448010","https://openalex.org/W2109889915","https://openalex.org/W2119234283","https://openalex.org/W2122344549","https://openalex.org/W2137687977","https://openalex.org/W2139564752","https://openalex.org/W2149628368","https://openalex.org/W2152209396","https://openalex.org/W2162418306","https://openalex.org/W2167557160","https://openalex.org/W2170883741","https://openalex.org/W2176865601","https://openalex.org/W2315569003","https://openalex.org/W2545857823"],"related_works":["https://openalex.org/W3202969339","https://openalex.org/W4237513258","https://openalex.org/W1994410349","https://openalex.org/W3177028067","https://openalex.org/W1913385466","https://openalex.org/W2889342546","https://openalex.org/W2015048155","https://openalex.org/W1616854372","https://openalex.org/W1969223073","https://openalex.org/W3202408121"],"abstract_inverted_index":{"Emotion":[0],"plays":[1],"an":[2],"important":[3],"role":[4],"in":[5,13,52],"human":[6],"interaction.":[7],"People":[8],"can":[9,84],"explain":[10],"their":[11],"emotions":[12,101,199],"terms":[14],"of":[15,49,62,73,107,183],"word,":[16],"voice":[17],"intonation,":[18],"facial":[19],"expression,":[20],"and":[21,83,99,124,135,161,197,205,218,228,233],"body":[22],"language.":[23],"However,":[24],"brain-computer":[25],"interface":[26],"(BCI)":[27],"systems":[28,44],"have":[29,102,119],"not":[30],"reached":[31],"the":[32,53,63,167,181,214],"desired":[33],"level":[34],"to":[35,97,114,140,187],"interpret":[36],"emotions.":[37],"Automatic":[38],"emotion":[39,82],"recognition":[40],"based":[41],"on":[42],"BCI":[43],"has":[45],"been":[46,103],"a":[47],"topic":[48],"great":[50],"research":[51],"last":[54],"few":[55],"decades.":[56],"Electroencephalogram":[57],"(EEG)":[58],"signals":[59,76,95],"are":[60,216],"one":[61],"most":[64],"crucial":[65],"resources":[66],"for":[67,150,155],"these":[68,188],"systems.":[69,90],"The":[70,144,190,208,220],"main":[71],"advantage":[72],"using":[74,203,231],"EEG":[75,94,142,153,163,184],"is":[77],"that":[78,165],"it":[79],"reflects":[80],"real":[81],"easily":[85],"be":[86],"processed":[87],"by":[88,179,230],"computer":[89],"In":[91],"this":[92],"study,":[93],"related":[96,195],"positive":[98,196],"negative":[100,198],"classified":[104,201],"with":[105,194,212],"preprocessing":[106],"channel":[108,151],"selection.":[109,152],"Self-Assessment":[110],"Manikins":[111],"was":[112],"used":[113,149],"determine":[115],"emotional":[116],"states.":[117],"We":[118],"employed":[120],"discrete":[121],"wavelet":[122],"transform":[123],"machine":[125],"learning":[126],"techniques":[127],"such":[128],"as":[129,226],"multilayer":[130],"perceptron":[131],"neural":[132],"network":[133],"(MLPNN)":[134],"k-nearest":[136],"neighborhood":[137],"(kNN)":[138],"algorithm":[139],"classify":[141],"signals.":[143],"classifier":[145],"algorithms":[146,215],"were":[147,158,171,177,200,224],"initially":[148],"channels":[154,164],"each":[156],"participant":[157],"evaluated":[159],"separately,":[160],"five":[162],"offered":[166],"best":[168],"classification":[169,209],"performance":[170,210],"determined.":[172],"Thus,":[173],"final":[174,191],"feature":[175,192],"vectors":[176,193],"obtained":[178,211,225],"combining":[180],"features":[182],"segments":[185],"belonging":[186],"channels.":[189],"separately":[202],"MLPNN":[204,232],"kNN":[206],"algorithms.":[207],"both":[213],"computed":[217],"compared.":[219],"average":[221],"overall":[222],"accuracies":[223],"77.14":[227],"72.92%":[229],"kNN,":[234],"respectively.":[235]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":22},{"year":2022,"cited_by_count":22},{"year":2021,"cited_by_count":27},{"year":2020,"cited_by_count":17},{"year":2019,"cited_by_count":14},{"year":2018,"cited_by_count":3}],"updated_date":"2026-05-13T08:25:38.343686","created_date":"2025-10-10T00:00:00"}
