{"id":"https://openalex.org/W2188717587","doi":"https://doi.org/10.1109/icmlc.2015.7340670","title":"Decision fusion for EEG-based emotion recognition","display_name":"Decision fusion for EEG-based emotion recognition","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W2188717587","doi":"https://doi.org/10.1109/icmlc.2015.7340670","mag":"2188717587"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2015.7340670","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2015.7340670","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 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/A5100328371","display_name":"Shuai Wang","orcid":"https://orcid.org/0000-0002-5073-3371"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Shuai Wang","raw_affiliation_strings":["Shenzhen Engineering Laboratory of Performance Robots at Digital Stage, Graduate School, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Engineering Laboratory of Performance Robots at Digital Stage, Graduate School, Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101733761","display_name":"Jiachen Du","orcid":"https://orcid.org/0000-0002-5512-9915"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiachen Du","raw_affiliation_strings":["Shenzhen Engineering Laboratory of Performance Robots at Digital Stage, Graduate School, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Engineering Laboratory of Performance Robots at Digital Stage, Graduate School, Shenzhen, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018149714","display_name":"Ruifeng Xu","orcid":"https://orcid.org/0000-0001-9885-2364"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ruifeng Xu","raw_affiliation_strings":["Shenzhen Engineering Laboratory of Performance Robots at Digital Stage, Graduate School, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Engineering Laboratory of Performance Robots at Digital Stage, Graduate School, Shenzhen, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100328371"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4949,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.65658176,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"15","issue":null,"first_page":"883","last_page":"889"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9993000030517578,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9911999702453613,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7477478384971619},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7322697639465332},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.72133469581604},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6366194486618042},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5927872061729431},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.5679672360420227},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.5464320778846741},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5251041054725647},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5058757662773132},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.48954376578330994},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46838098764419556},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4526795744895935},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40147078037261963},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3960786759853363},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14467519521713257}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7477478384971619},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7322697639465332},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.72133469581604},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6366194486618042},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5927872061729431},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.5679672360420227},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.5464320778846741},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5251041054725647},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5058757662773132},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.48954376578330994},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46838098764419556},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4526795744895935},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40147078037261963},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3960786759853363},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14467519521713257},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc.2015.7340670","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2015.7340670","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Machine Learning and Cybernetics (ICMLC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7699999809265137,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W69300324","https://openalex.org/W1575429381","https://openalex.org/W1829924905","https://openalex.org/W1970251318","https://openalex.org/W1986488785","https://openalex.org/W1994233698","https://openalex.org/W2001097956","https://openalex.org/W2010112159","https://openalex.org/W2019608648","https://openalex.org/W2032254851","https://openalex.org/W2077770566","https://openalex.org/W2081420711","https://openalex.org/W2102998034","https://openalex.org/W2125956002","https://openalex.org/W2134602648","https://openalex.org/W2134892478","https://openalex.org/W2170883741","https://openalex.org/W6638854292","https://openalex.org/W6678823572","https://openalex.org/W6679967756"],"related_works":["https://openalex.org/W1964832275","https://openalex.org/W2389865566","https://openalex.org/W2407804800","https://openalex.org/W2388864896","https://openalex.org/W2888937984","https://openalex.org/W2031173026","https://openalex.org/W2117265009","https://openalex.org/W2031651184","https://openalex.org/W2913388591","https://openalex.org/W2128012032"],"abstract_inverted_index":{"The":[0,65,91],"emotion":[1,30,118],"recognition":[2,31],"using":[3,52],"the":[4,35,47,73,81,94,110],"electroencephalogram":[5],"(EEG)":[6],"receives":[7],"a":[8],"lot":[9],"of":[10,38,67],"attentions":[11],"in":[12],"recent":[13],"years.":[14],"Various":[15],"features":[16,61],"extracted":[17],"from":[18,40],"different":[19],"angles":[20],"are":[21,62,70],"proposed.":[22],"In":[23],"this":[24],"paper,":[25],"we":[26],"propose":[27],"an":[28],"EEG-based":[29,117],"framework":[32],"based":[33,45,79,103,113],"on":[34,46,80,84,93],"weighted":[36,74],"fusion":[37,75,102,112],"outputs":[39,66],"base":[41,68,89,107],"classifiers.":[42],"Threebase":[43],"classifiers":[44,69,108],"SVM":[48],"with":[49],"RBF":[50],"kernel":[51],"Power":[53],"Spectral,":[54],"Higuchi":[55],"Fractal":[56],"Dimension":[57],"and":[58,109],"Lempel-Ziv":[59],"Complexity":[60],"developed,":[63],"respectively.":[64],"integrated":[71],"by":[72,87],"strategy":[76],"which":[77],"is":[78],"confidence":[82],"estimation":[83],"each":[85,88],"class":[86],"classifier.":[90],"evaluation":[92],"DEAP":[95],"dataset":[96],"shows":[97],"that":[98],"our":[99],"proposed":[100],"decision":[101],"method":[104],"outperforms":[105],"individual":[106],"feature":[111],"classifier":[114],"integration":[115],"for":[116],"recognition.":[119]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":3}],"updated_date":"2026-03-28T08:17:26.163206","created_date":"2025-10-10T00:00:00"}
