{"id":"https://openalex.org/W2590416815","doi":"https://doi.org/10.1109/icmlc.2016.7860909","title":"A comparison study on the relationship between the selection of EEG electrode channels and frequency bands used in classification for emotion recognition","display_name":"A comparison study on the relationship between the selection of EEG electrode channels and frequency bands used in classification for emotion recognition","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2590416815","doi":"https://doi.org/10.1109/icmlc.2016.7860909","mag":"2590416815"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2016.7860909","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2016.7860909","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Machine Learning and Cybernetics (ICMLC)","raw_type":"proceedings-article"},"type":"article","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/A5034100627","display_name":"Auchin Chatchinarat","orcid":null},"institutions":[{"id":"https://openalex.org/I176790772","display_name":"Murdoch University","ror":"https://ror.org/00r4sry34","country_code":"AU","type":"education","lineage":["https://openalex.org/I176790772"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Auchin Chatchinarat","raw_affiliation_strings":["School of Engineering and Information Technology, Murdoch University, WA, Australia"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Information Technology, Murdoch University, WA, Australia","institution_ids":["https://openalex.org/I176790772"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062739845","display_name":"Kok Wai Wong","orcid":"https://orcid.org/0000-0001-8767-1031"},"institutions":[{"id":"https://openalex.org/I176790772","display_name":"Murdoch University","ror":"https://ror.org/00r4sry34","country_code":"AU","type":"education","lineage":["https://openalex.org/I176790772"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Kok Wai Wong","raw_affiliation_strings":["School of Engineering and Information Technology, Murdoch University, WA, Australia"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Information Technology, Murdoch University, WA, Australia","institution_ids":["https://openalex.org/I176790772"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086703248","display_name":"Chun Che Fung","orcid":"https://orcid.org/0000-0001-5182-3558"},"institutions":[{"id":"https://openalex.org/I176790772","display_name":"Murdoch University","ror":"https://ror.org/00r4sry34","country_code":"AU","type":"education","lineage":["https://openalex.org/I176790772"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chun Che Fung","raw_affiliation_strings":["School of Engineering and Information Technology, Murdoch University, WA, Australia"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Information Technology, Murdoch University, WA, Australia","institution_ids":["https://openalex.org/I176790772"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5034100627"],"corresponding_institution_ids":["https://openalex.org/I176790772"],"apc_list":null,"apc_paid":null,"fwci":0.8353,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.74367083,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"251","last_page":"256"},"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":0.9977999925613403,"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":0.9940999746322632,"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":0.7720670700073242},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7390644550323486},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6912342309951782},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6821500062942505},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6807828545570374},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6537983417510986},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5463829040527344},{"id":"https://openalex.org/keywords/emotion-classification","display_name":"Emotion classification","score":0.5365068912506104},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.49065127968788147},{"id":"https://openalex.org/keywords/radio-spectrum","display_name":"Radio spectrum","score":0.4668733775615692},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.458198606967926},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.450120747089386},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4422283172607422},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.4282161295413971},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.0955086350440979}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7720670700073242},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7390644550323486},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6912342309951782},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6821500062942505},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6807828545570374},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6537983417510986},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5463829040527344},{"id":"https://openalex.org/C206310091","wikidata":"https://www.wikidata.org/wiki/Q750859","display_name":"Emotion classification","level":2,"score":0.5365068912506104},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.49065127968788147},{"id":"https://openalex.org/C92545706","wikidata":"https://www.wikidata.org/wiki/Q902174","display_name":"Radio spectrum","level":2,"score":0.4668733775615692},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.458198606967926},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.450120747089386},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4422283172607422},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4282161295413971},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0955086350440979},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc.2016.7860909","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2016.7860909","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Machine Learning and Cybernetics (ICMLC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W110731996","https://openalex.org/W1732258486","https://openalex.org/W1789721553","https://openalex.org/W1869391892","https://openalex.org/W1968831876","https://openalex.org/W1979775185","https://openalex.org/W1980122010","https://openalex.org/W1984144775","https://openalex.org/W2002055708","https://openalex.org/W2008060633","https://openalex.org/W2027382334","https://openalex.org/W2027519266","https://openalex.org/W2028839769","https://openalex.org/W2037148955","https://openalex.org/W2060472216","https://openalex.org/W2076975861","https://openalex.org/W2081420711","https://openalex.org/W2091097996","https://openalex.org/W2116500643","https://openalex.org/W2124399139","https://openalex.org/W2138523272","https://openalex.org/W2139564752","https://openalex.org/W2153635508","https://openalex.org/W2167716931","https://openalex.org/W2619848084","https://openalex.org/W4252163433","https://openalex.org/W6638035981","https://openalex.org/W6639165917","https://openalex.org/W6672893108","https://openalex.org/W6680688232","https://openalex.org/W6738312327"],"related_works":["https://openalex.org/W2085792030","https://openalex.org/W1588899229","https://openalex.org/W2172291505","https://openalex.org/W2023142747","https://openalex.org/W2037009764","https://openalex.org/W2063036707","https://openalex.org/W2501033992","https://openalex.org/W2377605153","https://openalex.org/W1967182499","https://openalex.org/W2088723847"],"abstract_inverted_index":{"It":[0],"has":[1],"been":[2],"established":[3],"that":[4,94,126],"it":[5,91],"is":[6,36,92],"possible":[7],"to":[8,138],"reveal":[9],"human":[10],"emotions":[11,137],"using":[12,65,96,111],"electroencephalogram":[13],"(EEG)":[14],"signals.":[15],"Most":[16],"studies":[17],"used":[18,74],"a":[19,28,41,60,112],"wide":[20],"variety":[21],"of":[22,33,46,49,114],"data":[23],"sets":[24],"and":[25,52,78,122],"methods,":[26],"therefore":[27],"comparison":[29],"between":[30],"the":[31,44,47,86,119,135,141,148],"performances":[32],"their":[34],"approaches":[35],"difficult.":[37],"This":[38],"paper":[39],"reports":[40],"study":[42],"on":[43,59,147],"effects":[45],"number":[48],"electrode":[50],"channels":[51,99],"frequency":[53,109],"bands":[54,129],"for":[55,62,75],"emotion":[56,63],"classification":[57],"based":[58,146],"database":[61],"analysis":[64],"physiological":[66],"signals":[67],"(DEAP).":[68],"Discrete":[69],"wavelet":[70],"transform":[71],"(DWT)":[72],"was":[73,83,144],"feature":[76],"extraction":[77],"support":[79],"vector":[80],"machine":[81],"(SVM)":[82],"applied":[84],"as":[85],"classifier.":[87],"From":[88],"experimental":[89],"results,":[90,132],"found":[93],"(a)":[95],"more":[97,136],"electrodes":[98],"did":[100,116],"not":[101,117],"guarantee":[102],"better":[103,131],"accuracy,":[104],"(b)":[105],"comparing":[106],"with":[107],"all":[108],"bands,":[110],"few":[113],"them":[115],"reduce":[118],"accuracy":[120,143],"dramatically":[121],"some":[123],"results":[124],"revealed":[125],"only":[127],"two":[128],"produced":[130],"and,":[133],"(c)":[134],"be":[139],"classified,":[140],"lower":[142],"achieved":[145],"same":[149],"method.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}
