{"id":"https://openalex.org/W3029746595","doi":"https://doi.org/10.3390/s20113028","title":"Enhancing BCI-Based Emotion Recognition Using an Improved Particle Swarm Optimization for Feature Selection","display_name":"Enhancing BCI-Based Emotion Recognition Using an Improved Particle Swarm Optimization for Feature Selection","publication_year":2020,"publication_date":"2020-05-27","ids":{"openalex":"https://openalex.org/W3029746595","doi":"https://doi.org/10.3390/s20113028","mag":"3029746595","pmid":"https://pubmed.ncbi.nlm.nih.gov/32471047"},"language":"en","primary_location":{"id":"doi:10.3390/s20113028","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20113028","pdf_url":"https://www.mdpi.com/1424-8220/20/11/3028/pdf","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/20/11/3028/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089244748","display_name":"Zina Li","orcid":"https://orcid.org/0000-0002-4168-132X"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zina Li","raw_affiliation_strings":["School of Software, South China Normal University, Guangzhou 510631, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, South China Normal University, Guangzhou 510631, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041963828","display_name":"Lina Qiu","orcid":"https://orcid.org/0000-0001-5733-1992"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lina Qiu","raw_affiliation_strings":["School of Software, South China Normal University, Guangzhou 510631, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, South China Normal University, Guangzhou 510631, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101452708","display_name":"Ruixin Li","orcid":"https://orcid.org/0009-0009-0726-9882"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruixin Li","raw_affiliation_strings":["School of Software, South China Normal University, Guangzhou 510631, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, South China Normal University, Guangzhou 510631, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034748389","display_name":"Zhipeng He","orcid":"https://orcid.org/0000-0002-6226-754X"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhipeng He","raw_affiliation_strings":["School of Software, South China Normal University, Guangzhou 510631, China"],"raw_orcid":"https://orcid.org/0000-0002-6226-754X","affiliations":[{"raw_affiliation_string":"School of Software, South China Normal University, Guangzhou 510631, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101485987","display_name":"Jun Xiao","orcid":"https://orcid.org/0000-0001-6354-2972"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Xiao","raw_affiliation_strings":["School of Electric Power Engineering, South China University of Technology, Guangzhou 510640, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electric Power Engineering, South China University of Technology, Guangzhou 510640, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101721116","display_name":"Yan Liang","orcid":"https://orcid.org/0000-0003-4596-587X"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Liang","raw_affiliation_strings":["School of Software, South China Normal University, Guangzhou 510631, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, South China Normal University, Guangzhou 510631, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100455936","display_name":"Fei Wang","orcid":"https://orcid.org/0000-0003-1669-8338"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Wang","raw_affiliation_strings":["School of Software, South China Normal University, Guangzhou 510631, China"],"raw_orcid":"https://orcid.org/0000-0003-1669-8338","affiliations":[{"raw_affiliation_string":"School of Software, South China Normal University, Guangzhou 510631, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023225646","display_name":"Jiahui Pan","orcid":"https://orcid.org/0000-0002-7576-6743"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiahui Pan","raw_affiliation_strings":["School of Software, South China Normal University, Guangzhou 510631, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, South China Normal University, Guangzhou 510631, China","institution_ids":["https://openalex.org/I187400657"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5023225646"],"corresponding_institution_ids":["https://openalex.org/I187400657"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":7.3279,"has_fulltext":false,"cited_by_count":62,"citation_normalized_percentile":{"value":0.97523024,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"20","issue":"11","first_page":"3028","last_page":"3028"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9994999766349792,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9993000030517578,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9898999929428101,"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/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7399798631668091},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7069194316864014},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6883577704429626},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6876740455627441},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6738501191139221},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.6732783317565918},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6015684008598328},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.5254189968109131},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.47615739703178406},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43800073862075806},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4358295202255249},{"id":"https://openalex.org/keywords/emotion-classification","display_name":"Emotion classification","score":0.4191340506076813},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.35086220502853394},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.328265905380249},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.06488510966300964}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7399798631668091},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7069194316864014},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6883577704429626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6876740455627441},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6738501191139221},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.6732783317565918},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6015684008598328},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.5254189968109131},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.47615739703178406},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43800073862075806},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4358295202255249},{"id":"https://openalex.org/C206310091","wikidata":"https://www.wikidata.org/wiki/Q750859","display_name":"Emotion classification","level":2,"score":0.4191340506076813},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.35086220502853394},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.328265905380249},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.06488510966300964},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004644","descriptor_name":"Emotions","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":false},{"descriptor_ui":"D004644","descriptor_name":"Emotions","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":false},{"descriptor_ui":"D004644","descriptor_name":"Emotions","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D062207","descriptor_name":"Brain-Computer Interfaces","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D062207","descriptor_name":"Brain-Computer Interfaces","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D062207","descriptor_name":"Brain-Computer Interfaces","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.3390/s20113028","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20113028","pdf_url":"https://www.mdpi.com/1424-8220/20/11/3028/pdf","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:32471047","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32471047","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:e66e8975703d4f7f8c6e17b6c369eea2","is_oa":true,"landing_page_url":"https://doaj.org/article/e66e8975703d4f7f8c6e17b6c369eea2","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":"Sensors, Vol 20, Iss 11, p 3028 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/20/11/3028/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s20113028","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Sensors","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7309000","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7309000","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":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s20113028","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20113028","pdf_url":"https://www.mdpi.com/1424-8220/20/11/3028/pdf","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4458487419","display_name":null,"funder_award_id":"201710010038","funder_id":"https://openalex.org/F4320335377","funder_display_name":"Pearl River S and T Nova Program of Guangzhou"},{"id":"https://openalex.org/G6401646368","display_name":null,"funder_award_id":"61876067","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G756011928","display_name":null,"funder_award_id":"2019A1515011375","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320335377","display_name":"Pearl River S and T Nova Program of Guangzhou","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W3029746595.pdf"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W69300324","https://openalex.org/W76639474","https://openalex.org/W1820051232","https://openalex.org/W1970727126","https://openalex.org/W1989657190","https://openalex.org/W2002055708","https://openalex.org/W2003085167","https://openalex.org/W2027502701","https://openalex.org/W2038610431","https://openalex.org/W2045468728","https://openalex.org/W2053906014","https://openalex.org/W2081420711","https://openalex.org/W2096914182","https://openalex.org/W2098994855","https://openalex.org/W2100147270","https://openalex.org/W2102628289","https://openalex.org/W2122098299","https://openalex.org/W2125301736","https://openalex.org/W2128220430","https://openalex.org/W2132984323","https://openalex.org/W2134050473","https://openalex.org/W2139386984","https://openalex.org/W2153635508","https://openalex.org/W2165857685","https://openalex.org/W2167557160","https://openalex.org/W2288754303","https://openalex.org/W2323851044","https://openalex.org/W2469733693","https://openalex.org/W2556157077","https://openalex.org/W2572741602","https://openalex.org/W2578862044","https://openalex.org/W2580887161","https://openalex.org/W2596322930","https://openalex.org/W2604825588","https://openalex.org/W2791779167","https://openalex.org/W2889040854","https://openalex.org/W2903462437","https://openalex.org/W2918087949","https://openalex.org/W2962905870","https://openalex.org/W6638374719"],"related_works":["https://openalex.org/W3202969339","https://openalex.org/W4237513258","https://openalex.org/W2044053727","https://openalex.org/W1994410349","https://openalex.org/W3177028067","https://openalex.org/W1913385466","https://openalex.org/W2914170859","https://openalex.org/W2889342546","https://openalex.org/W2015048155","https://openalex.org/W2106231951"],"abstract_inverted_index":{"\uff1aElectroencephalogram":[0],"(EEG)":[1],"signals":[2],"have":[3],"been":[4],"widely":[5],"used":[6,108],"in":[7,34,139],"emotion":[8,14,20,47,63,121,162,181,199],"recognition.":[9,182],"However,":[10],"the":[11,75,112,116,120,126,136,140,157,168,177,186,189],"current":[12],"EEG-based":[13,180],"recognition":[15,64,163,200],"has":[16],"low":[17],"accuracy":[18,159,178,217],"of":[19,114,160,179,188,218,222],"classification,":[21],"and":[22,53,79],"its":[23],"real-time":[24],"application":[25],"is":[26],"limited.":[27],"In":[28],"order":[29],"to":[30,44,59,109,148],"address":[31],"these":[32],"issues,":[33],"this":[35,55],"paper,":[36],"we":[37,194],"proposed":[38,172],"an":[39,61,196,215],"improved":[40],"feature":[41,56,101,174,191],"selection":[42,57,175,192],"algorithm":[43,105],"recognize":[45],"subjects'":[46],"states":[48],"based":[49],"on":[50],"EEG":[51,137],"signal,":[52],"combined":[54],"method":[58,91,224],"design":[60],"online":[62,197],"brain-computer":[65],"interface":[66],"(BCI)":[67],"system.":[68],"Specifically,":[69],"first,":[70],"different":[71,133],"dimensional":[72],"features":[73,134],"from":[74,135],"time-domain,":[76],"frequency":[77],"domain,":[78],"time-frequency":[80],"domain":[81],"were":[82,123],"extracted.":[83],"Then,":[84],"a":[85],"modified":[86],"particle":[87],"swarm":[88],"optimization":[89],"(PSO)":[90],"with":[92,167,214],"multi-stage":[93],"linearly-decreasing":[94],"inertia":[95,117],"weight":[96],"(MLDW)":[97],"was":[98,225],"purposed":[99],"for":[100,210],"selection.":[102],"The":[103,220],"MLDW":[104],"can":[106],"be":[107],"easily":[110],"refine":[111],"process":[113],"decreasing":[115],"weight.":[118],"Finally,":[119],"types":[122],"classified":[124],"by":[125,145,203],"support":[127],"vector":[128],"machine":[129],"classifier.":[130],"We":[131],"extracted":[132],"data":[138,142],"DEAP":[141],"set":[143],"collected":[144],"32":[146],"subjects":[147,213],"perform":[149],"two":[150],"offline":[151],"experiments.":[152],"Our":[153],"results":[154],"showed":[155],"that":[156],"average":[158,216],"four-class":[161],"reached":[164],"76.67%.":[165],"Compared":[166],"latest":[169],"benchmark,":[170],"our":[171,223],"MLDW-PSO":[173,190],"improves":[176],"To":[183],"further":[184],"validate":[185],"efficiency":[187],"method,":[193],"developed":[195],"two-class":[198],"system":[201],"evoked":[202],"Chinese":[204],"videos,":[205],"which":[206],"achieved":[207],"good":[208],"performance":[209],"10":[211],"healthy":[212],"89.5%.":[219],"effectiveness":[221],"thus":[226],"demonstrated.":[227]},"counts_by_year":[{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":3}],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2025-10-10T00:00:00"}
