{"id":"https://openalex.org/W3005228027","doi":"https://doi.org/10.3390/s20030866","title":"The Design of CNN Architectures for Optimal Six Basic Emotion Classification Using Multiple Physiological Signals","display_name":"The Design of CNN Architectures for Optimal Six Basic Emotion Classification Using Multiple Physiological Signals","publication_year":2020,"publication_date":"2020-02-06","ids":{"openalex":"https://openalex.org/W3005228027","doi":"https://doi.org/10.3390/s20030866","mag":"3005228027","pmid":"https://pubmed.ncbi.nlm.nih.gov/32041226"},"language":"en","primary_location":{"id":"doi:10.3390/s20030866","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20030866","pdf_url":"https://www.mdpi.com/1424-8220/20/3/866/pdf?version=1581079380","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/1424-8220/20/3/866/pdf?version=1581079380","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071938277","display_name":"Seung\u2010Jun Oh","orcid":"https://orcid.org/0000-0002-5507-2445"},"institutions":[{"id":"https://openalex.org/I157264075","display_name":"Sangmyung University","ror":"https://ror.org/01x4whx42","country_code":"KR","type":"education","lineage":["https://openalex.org/I157264075"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"SeungJun Oh","raw_affiliation_strings":["Department of Sports ICT Convergence, Sangmyung University Graduate School, Seoul 03016, Korea"],"raw_orcid":"https://orcid.org/0000-0002-5507-2445","affiliations":[{"raw_affiliation_string":"Department of Sports ICT Convergence, Sangmyung University Graduate School, Seoul 03016, Korea","institution_ids":["https://openalex.org/I157264075"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100398173","display_name":"Jun\u2010Young Lee","orcid":"https://orcid.org/0000-0002-5893-3124"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]},{"id":"https://openalex.org/I4210100437","display_name":"SNUH SMG-SNU Boramae Medical Center","ror":"https://ror.org/014xqzt56","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I139264467","https://openalex.org/I2802835388","https://openalex.org/I4210100437"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jun-Young Lee","raw_affiliation_strings":["Department of Psychiatry and Neuroscience Research Institute, Seoul National University College of Medicine, SMG-SNU Boramae Medical Center, Seoul 07061, Korea"],"raw_orcid":"https://orcid.org/0000-0002-5893-3124","affiliations":[{"raw_affiliation_string":"Department of Psychiatry and Neuroscience Research Institute, Seoul National University College of Medicine, SMG-SNU Boramae Medical Center, Seoul 07061, Korea","institution_ids":["https://openalex.org/I4210100437","https://openalex.org/I139264467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001459966","display_name":"Dong Keun Kim","orcid":"https://orcid.org/0000-0002-8397-4649"},"institutions":[{"id":"https://openalex.org/I157264075","display_name":"Sangmyung University","ror":"https://ror.org/01x4whx42","country_code":"KR","type":"education","lineage":["https://openalex.org/I157264075"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Dong Keun Kim","raw_affiliation_strings":["Department of Intelligent Engineering Informatics for Human, Institute of Intelligent Informatics Technology, Sangmyung University, Seoul 03016, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Intelligent Engineering Informatics for Human, Institute of Intelligent Informatics Technology, Sangmyung University, Seoul 03016, Korea","institution_ids":["https://openalex.org/I157264075"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5001459966"],"corresponding_institution_ids":["https://openalex.org/I157264075"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":3.8659,"has_fulltext":true,"cited_by_count":58,"citation_normalized_percentile":{"value":0.94264441,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"20","issue":"3","first_page":"866","last_page":"866"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9993000030517578,"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"}},"topics":[{"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9991999864578247,"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/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6665328145027161},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6375389099121094},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6149399280548096},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5961886644363403},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5682510733604431},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5117180347442627},{"id":"https://openalex.org/keywords/emotion-classification","display_name":"Emotion classification","score":0.4682736396789551},{"id":"https://openalex.org/keywords/heart-rate-variability","display_name":"Heart rate variability","score":0.4574328064918518},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.43166232109069824},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.42316585779190063},{"id":"https://openalex.org/keywords/heart-rate","display_name":"Heart rate","score":0.12657690048217773},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12119510769844055}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6665328145027161},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6375389099121094},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6149399280548096},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5961886644363403},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5682510733604431},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5117180347442627},{"id":"https://openalex.org/C206310091","wikidata":"https://www.wikidata.org/wiki/Q750859","display_name":"Emotion classification","level":2,"score":0.4682736396789551},{"id":"https://openalex.org/C71635504","wikidata":"https://www.wikidata.org/wiki/Q933954","display_name":"Heart rate variability","level":4,"score":0.4574328064918518},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.43166232109069824},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.42316585779190063},{"id":"https://openalex.org/C2777953023","wikidata":"https://www.wikidata.org/wiki/Q1073121","display_name":"Heart rate","level":3,"score":0.12657690048217773},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12119510769844055},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C84393581","wikidata":"https://www.wikidata.org/wiki/Q82642","display_name":"Blood pressure","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001810","descriptor_name":"Blood Volume","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001810","descriptor_name":"Blood Volume","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001810","descriptor_name":"Blood Volume","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001810","descriptor_name":"Blood Volume","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004644","descriptor_name":"Emotions","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D004644","descriptor_name":"Emotions","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D004644","descriptor_name":"Emotions","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D004644","descriptor_name":"Emotions","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006339","descriptor_name":"Heart Rate","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D006339","descriptor_name":"Heart Rate","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D006339","descriptor_name":"Heart Rate","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D006339","descriptor_name":"Heart Rate","qualifier_ui":"Q000502","qualifier_name":"physiology","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":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010829","descriptor_name":"Physiological Phenomena","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010829","descriptor_name":"Physiological Phenomena","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010829","descriptor_name":"Physiological Phenomena","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010829","descriptor_name":"Physiological Phenomena","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012119","descriptor_name":"Respiration","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012119","descriptor_name":"Respiration","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012119","descriptor_name":"Respiration","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012119","descriptor_name":"Respiration","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s20030866","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20030866","pdf_url":"https://www.mdpi.com/1424-8220/20/3/866/pdf?version=1581079380","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:32041226","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32041226","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:75ed37e88c134e95ad9d21c4bbaac751","is_oa":true,"landing_page_url":"https://doaj.org/article/75ed37e88c134e95ad9d21c4bbaac751","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"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 3, p 866 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/20/3/866/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s20030866","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:7038703","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7038703","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/s20030866","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20030866","pdf_url":"https://www.mdpi.com/1424-8220/20/3/866/pdf?version=1581079380","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/G4892019327","display_name":null,"funder_award_id":"NRF-2017R1D1A1B03035606","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G73936912","display_name":null,"funder_award_id":"10073159","funder_id":"https://openalex.org/F4320321681","funder_display_name":"Ministry of Trade, Industry and Energy"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320321681","display_name":"Ministry of Trade, Industry and Energy","ror":"https://ror.org/008nkqk13"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3005228027.pdf","grobid_xml":"https://content.openalex.org/works/W3005228027.grobid-xml"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W1486958688","https://openalex.org/W1525925008","https://openalex.org/W1660320214","https://openalex.org/W1923188040","https://openalex.org/W1963753144","https://openalex.org/W2004104731","https://openalex.org/W2016661008","https://openalex.org/W2026699230","https://openalex.org/W2029334490","https://openalex.org/W2032745968","https://openalex.org/W2036309320","https://openalex.org/W2052431898","https://openalex.org/W2057169302","https://openalex.org/W2076345343","https://openalex.org/W2118026452","https://openalex.org/W2122464624","https://openalex.org/W2138492448","https://openalex.org/W2146355519","https://openalex.org/W2149186291","https://openalex.org/W2149628368","https://openalex.org/W2149875516","https://openalex.org/W2153771043","https://openalex.org/W2162137602","https://openalex.org/W2162780181","https://openalex.org/W2251198138","https://openalex.org/W2396728763","https://openalex.org/W2501824547","https://openalex.org/W2520956626","https://openalex.org/W2525648609","https://openalex.org/W2533298663","https://openalex.org/W2545857823","https://openalex.org/W2565944610","https://openalex.org/W2565994948","https://openalex.org/W2566902710","https://openalex.org/W2572741602","https://openalex.org/W2587586092","https://openalex.org/W2731836491","https://openalex.org/W2738561771","https://openalex.org/W2745346281","https://openalex.org/W2759190050","https://openalex.org/W2765383197","https://openalex.org/W2792002502","https://openalex.org/W2794132364","https://openalex.org/W2810418809","https://openalex.org/W2888184955","https://openalex.org/W2898665421","https://openalex.org/W2909436996","https://openalex.org/W2911861987","https://openalex.org/W2919115771","https://openalex.org/W2943464823","https://openalex.org/W2962898557","https://openalex.org/W2962905870","https://openalex.org/W2981004543","https://openalex.org/W3104042626","https://openalex.org/W4292333043","https://openalex.org/W6690073643","https://openalex.org/W6733266089","https://openalex.org/W6762477646"],"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/W4380370144","https://openalex.org/W2009950829","https://openalex.org/W4386232293","https://openalex.org/W2382178633"],"abstract_inverted_index":{"This":[0],"study":[1],"aimed":[2],"to":[3,111,152],"design":[4],"an":[5,43],"optimal":[6],"emotion":[7,51,140,155],"recognition":[8,156],"method":[9],"using":[10,162],"multiple":[11],"physiological":[12,29,164],"signal":[13,103],"parameters":[14,57,68,108],"acquired":[15,41,59,70,107],"by":[16,125],"bio-signal":[17],"sensors":[18],"for":[19,93,135],"improving":[20],"the":[21,95,102,106,121,127,130,137,154],"accuracy":[22,97,122],"of":[23,98,105,129,139,144],"classifying":[24],"individual":[25,99],"emotional":[26],"responses.":[27],"Multiple":[28],"signals":[30,165],"such":[31],"as":[32],"respiration":[33,63],"(RSP)":[34],"and":[35,65,166],"heart":[36],"rate":[37],"variability":[38],"(HRV)":[39],"were":[40,53,58,69],"in":[42],"experiment":[44],"from":[45,60,71],"53":[46],"participants":[47],"when":[48],"six":[49],"basic":[50],"states":[52],"induced.":[54],"Two":[55],"RSP":[56],"a":[61,72,86,117,133],"chest-band":[62],"sensor,":[64],"five":[66],"HRV":[67],"finger-clip":[73],"blood":[74],"volume":[75],"pulse":[76],"(BVP)":[77],"sensor.":[78],"A":[79],"newly":[80],"designed":[81],"deep-learning":[82],"model":[83,147,157],"based":[84,159],"on":[85,160],"convolutional":[87],"neural":[88],"network":[89],"(CNN)":[90],"was":[91,109,123],"adopted":[92],"detecting":[94],"identification":[96],"emotions.":[100],"Additionally,":[101],"combination":[104],"proposed":[110,146],"obtain":[112],"high":[113],"classification":[114],"accuracy.":[115],"Furthermore,":[116],"dominant":[118],"factor":[119],"influencing":[120],"found":[124],"comparing":[126],"relativeness":[128],"parameters,":[131],"providing":[132],"basis":[134],"supporting":[136],"results":[138],"classification.":[141],"The":[142],"users":[143],"this":[145],"will":[148],"soon":[149],"be":[150],"able":[151],"improve":[153],"further":[158],"CNN":[161],"multimodal":[163],"their":[167],"sensors.":[168]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}