{"id":"https://openalex.org/W3188833721","doi":"https://doi.org/10.3390/s21155135","title":"Affective Computing on Machine Learning-Based Emotion Recognition Using a Self-Made EEG Device","display_name":"Affective Computing on Machine Learning-Based Emotion Recognition Using a Self-Made EEG Device","publication_year":2021,"publication_date":"2021-07-29","ids":{"openalex":"https://openalex.org/W3188833721","doi":"https://doi.org/10.3390/s21155135","mag":"3188833721","pmid":"https://pubmed.ncbi.nlm.nih.gov/34372370"},"language":"en","primary_location":{"id":"doi:10.3390/s21155135","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21155135","pdf_url":"https://www.mdpi.com/1424-8220/21/15/5135/pdf?version=1627616646","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/1424-8220/21/15/5135/pdf?version=1627616646","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003335735","display_name":"Ngoc-Dau Mai","orcid":"https://orcid.org/0009-0005-7027-1505"},"institutions":[{"id":"https://openalex.org/I8991828","display_name":"Pukyong National University","ror":"https://ror.org/0433kqc49","country_code":"KR","type":"education","lineage":["https://openalex.org/I8991828"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ngoc-Dau Mai","raw_affiliation_strings":["Department of Artificial Intelligence Convergence, Pukyong National University, Busan 48513, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence Convergence, Pukyong National University, Busan 48513, Korea","institution_ids":["https://openalex.org/I8991828"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053615344","display_name":"Boon Giin Lee","orcid":"https://orcid.org/0000-0001-5743-1010"},"institutions":[{"id":"https://openalex.org/I13591777","display_name":"University of Nottingham Ningbo China","ror":"https://ror.org/03y4dt428","country_code":"CN","type":"education","lineage":["https://openalex.org/I13591777","https://openalex.org/I142263535"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Boon-Giin Lee","raw_affiliation_strings":["School of Computer Science, The University of Nottingham Ningbo China, Ningbo 315100, China"],"raw_orcid":"https://orcid.org/0000-0001-5743-1010","affiliations":[{"raw_affiliation_string":"School of Computer Science, The University of Nottingham Ningbo China, Ningbo 315100, China","institution_ids":["https://openalex.org/I13591777"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079773768","display_name":"Wan\u2010Young Chung","orcid":"https://orcid.org/0000-0002-0121-855X"},"institutions":[{"id":"https://openalex.org/I8991828","display_name":"Pukyong National University","ror":"https://ror.org/0433kqc49","country_code":"KR","type":"education","lineage":["https://openalex.org/I8991828"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Wan-Young Chung","raw_affiliation_strings":["Department of Artificial Intelligence Convergence, Pukyong National University, Busan 48513, Korea"],"raw_orcid":"https://orcid.org/0000-0002-0121-855X","affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence Convergence, Pukyong National University, Busan 48513, Korea","institution_ids":["https://openalex.org/I8991828"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5079773768"],"corresponding_institution_ids":["https://openalex.org/I8991828"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":2.618,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.89947706,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"21","issue":"15","first_page":"5135","last_page":"5135"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998000264167786,"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":0.9998000264167786,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9894000291824341,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.7698771953582764},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.723697304725647},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7044107913970947},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6856124401092529},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.6276679635047913},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5898019671440125},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.5555833578109741},{"id":"https://openalex.org/keywords/emotion-classification","display_name":"Emotion classification","score":0.5299968123435974},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5120885372161865},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5045095682144165},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.45208728313446045},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.45146703720092773},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44094598293304443},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3673844337463379},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12421587109565735}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7698771953582764},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.723697304725647},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7044107913970947},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6856124401092529},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.6276679635047913},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5898019671440125},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.5555833578109741},{"id":"https://openalex.org/C206310091","wikidata":"https://www.wikidata.org/wiki/Q750859","display_name":"Emotion classification","level":2,"score":0.5299968123435974},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5120885372161865},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5045095682144165},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.45208728313446045},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.45146703720092773},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44094598293304443},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3673844337463379},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12421587109565735},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","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":"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":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004644","descriptor_name":"Emotions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004644","descriptor_name":"Emotions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004644","descriptor_name":"Emotions","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":"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":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","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":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s21155135","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21155135","pdf_url":"https://www.mdpi.com/1424-8220/21/15/5135/pdf?version=1627616646","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:34372370","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34372370","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:0121861f1b8f47b4838eca664534945e","is_oa":true,"landing_page_url":"https://doaj.org/article/0121861f1b8f47b4838eca664534945e","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 21, Iss 15, p 5135 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/21/15/5135/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s21155135","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; Volume 21; Issue 15; Pages: 5135","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8348417","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8348417","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/s21155135","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21155135","pdf_url":"https://www.mdpi.com/1424-8220/21/15/5135/pdf?version=1627616646","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":[{"id":"https://metadata.un.org/sdg/4","score":0.5,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G7735963607","display_name":null,"funder_award_id":"2019R1A2C1089139","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3188833721.pdf"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W191316497","https://openalex.org/W266504756","https://openalex.org/W1013886253","https://openalex.org/W1518873647","https://openalex.org/W1520861770","https://openalex.org/W1601314345","https://openalex.org/W1877153489","https://openalex.org/W1939904813","https://openalex.org/W1947251450","https://openalex.org/W1970599720","https://openalex.org/W1971078086","https://openalex.org/W1980553000","https://openalex.org/W1982020192","https://openalex.org/W1989284601","https://openalex.org/W2002055708","https://openalex.org/W2002620848","https://openalex.org/W2022745060","https://openalex.org/W2026588572","https://openalex.org/W2029532650","https://openalex.org/W2034400748","https://openalex.org/W2040121225","https://openalex.org/W2043037790","https://openalex.org/W2081420711","https://openalex.org/W2088511157","https://openalex.org/W2094789510","https://openalex.org/W2096993177","https://openalex.org/W2101036104","https://openalex.org/W2102244548","https://openalex.org/W2118526556","https://openalex.org/W2119234283","https://openalex.org/W2127511193","https://openalex.org/W2132889650","https://openalex.org/W2137489111","https://openalex.org/W2140494000","https://openalex.org/W2291961022","https://openalex.org/W2304788182","https://openalex.org/W2339343773","https://openalex.org/W2353267094","https://openalex.org/W2426480186","https://openalex.org/W2477627293","https://openalex.org/W2490333519","https://openalex.org/W2551468055","https://openalex.org/W2734373634","https://openalex.org/W2767064886","https://openalex.org/W2782273434","https://openalex.org/W2950631439","https://openalex.org/W2950834660","https://openalex.org/W2955719408","https://openalex.org/W2962905870","https://openalex.org/W2973065845","https://openalex.org/W2974802536","https://openalex.org/W2990200213","https://openalex.org/W3048401265","https://openalex.org/W3145928148","https://openalex.org/W4230277160","https://openalex.org/W4233713183","https://openalex.org/W6640493789","https://openalex.org/W6745773969"],"related_works":["https://openalex.org/W1550318927","https://openalex.org/W4305042383","https://openalex.org/W2546649374","https://openalex.org/W2773396412","https://openalex.org/W4380854332","https://openalex.org/W2184859701","https://openalex.org/W4386232293","https://openalex.org/W4380370144","https://openalex.org/W2009950829","https://openalex.org/W2382178633"],"abstract_inverted_index":{"In":[0],"this":[1],"research,":[2],"we":[3,85],"develop":[4],"an":[5,33],"affective":[6,195],"computing":[7,196],"method":[8,197],"based":[9],"on":[10,36,63],"machine":[11,97],"learning":[12],"for":[13,76,108,178,198],"emotion":[14,109,179,199],"recognition":[15,200],"using":[16,32,90,143],"a":[17,21,94,144],"wireless":[18],"protocol":[19],"and":[20,49,102,113,131,136,151,189],"wearable":[22],"electroencephalography":[23],"(EEG)":[24],"custom-designed":[25],"device.":[26],"The":[27],"system":[28],"collects":[29],"EEG":[30,82],"signals":[31],"eight-electrode":[34],"placement":[35],"the":[37,46,50,57,81,123,129,147,157,161,165,169,174,187],"scalp;":[38],"two":[39],"of":[40,146,191],"these":[41,139],"electrodes":[42,53],"were":[43,54,74,116,134,141],"placed":[44,55],"in":[45,56,128,164,201],"frontal":[47],"lobe,":[48],"other":[51],"six":[52],"temporal":[58,166],"lobe.":[59],"We":[60],"performed":[61],"experiments":[62],"eight":[64],"subjects":[65],"while":[66],"they":[67],"watched":[68],"emotive":[69],"videos.":[70],"Six":[71],"entropy":[72,149],"measures":[73],"employed":[75],"extracting":[77],"suitable":[78],"features":[79],"from":[80],"signals.":[83],"Next,":[84],"evaluated":[86],"our":[87,154,192],"proposed":[88,175,193],"models":[89],"three":[91],"popular":[92],"classifiers:":[93],"support":[95],"vector":[96],"(SVM),":[98],"multi-layer":[99],"perceptron":[100],"(MLP),":[101],"one-dimensional":[103],"convolutional":[104],"neural":[105],"network":[106],"(1D-CNN)":[107],"classification;":[110],"both":[111],"subject-dependent":[112,130],"subject-independent":[114,132],"strategies":[115],"used.":[117],"Our":[118,184],"experiment":[119],"results":[120,185],"showed":[121],"that":[122],"highest":[124],"average":[125],"accuracies":[126,140],"achieved":[127,142],"cases":[133],"85.81%":[135],"78.52%,":[137],"respectively;":[138],"combination":[145],"sample":[148],"measure":[150],"1D-CNN.":[152],"Moreover,":[153],"study":[155],"investigates":[156],"T8":[158],"position":[159],"(above":[160],"right":[162],"ear)":[163],"lobe":[167],"as":[168],"most":[170],"critical":[171],"channel":[172],"among":[173],"measurement":[176],"positions":[177],"classification":[180],"through":[181],"electrode":[182],"selection.":[183],"prove":[186],"feasibility":[188],"efficiency":[190],"EEG-based":[194],"real-world":[202],"applications.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2025-10-10T00:00:00"}
