{"id":"https://openalex.org/W2963886099","doi":"https://doi.org/10.1109/iecbes.2018.8626634","title":"Entropy-Assisted Multi-Modal Emotion Recognition Framework Based on Physiological Signals","display_name":"Entropy-Assisted Multi-Modal Emotion Recognition Framework Based on Physiological Signals","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2963886099","doi":"https://doi.org/10.1109/iecbes.2018.8626634","mag":"2963886099"},"language":"en","primary_location":{"id":"doi:10.1109/iecbes.2018.8626634","doi":"https://doi.org/10.1109/iecbes.2018.8626634","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecbes.2018.8626634","pdf_url":null,"source":{"id":"https://openalex.org/S4306418616","display_name":"IEEE-EMBS Conference on Biomedical Engineering and Sciences","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1809.08410","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108665904","display_name":"Kuan Tung","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kuan Tung","raw_affiliation_strings":["Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054519457","display_name":"Po-Kang Liu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Po-Kang Liu","raw_affiliation_strings":["Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069905671","display_name":"Yu-Chuan Chuang","orcid":"https://orcid.org/0000-0001-7940-9033","observed_orcids":["https://orcid.org/0000-0001-7940-9033"]},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-Chuan Chuang","raw_affiliation_strings":["Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101845056","display_name":"Shenghui Wang","orcid":"https://orcid.org/0000-0003-3325-0754","observed_orcids":["https://orcid.org/0000-0003-3325-0754","https://orcid.org/0009-0003-3695-878X"]},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Sheng-Hui Wang","raw_affiliation_strings":["Graduate Institute of Electronics Engineering, National Taiwan University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate Institute of Electronics Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109465340","display_name":"An-Yeu Andy Wu","orcid":"https://orcid.org/0000-0003-4731-8633","observed_orcids":["https://orcid.org/0000-0003-4731-8633"]},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"An-Yeu Andy Wu","raw_affiliation_strings":["Graduate Institute of Electronics Engineering, National Taiwan University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate Institute of Electronics Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I16733864"],"apc_list":null,"apc_paid":null,"fwci":4.5689,"has_fulltext":true,"cited_by_count":41,"citation_normalized_percentile":{"value":0.95337257,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"22","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":1.0,"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":1.0,"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":0.0,"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"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.0,"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/emotion-recognition","display_name":"emotion recognition","score":0.9210000038146973},{"id":"https://openalex.org/keywords/physiological-signals","display_name":"physiological signals","score":0.9599999785423279},{"id":"https://openalex.org/keywords/entropy-features","display_name":"entropy features","score":0.8420000076293945},{"id":"https://openalex.org/keywords/multiscale-entropy","display_name":"multiscale entropy","score":0.8809999823570251},{"id":"https://openalex.org/keywords/permutation-entropy","display_name":"permutation entropy","score":0.9509999752044678},{"id":"https://openalex.org/keywords/ecg","display_name":"ECG","score":0.6389999985694885},{"id":"https://openalex.org/keywords/skin-conductance","display_name":"skin conductance","score":0.8859999775886536},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"EEG","score":0.9980000257492065},{"id":"https://openalex.org/keywords/arousal","display_name":"arousal","score":0.7110000252723694},{"id":"https://openalex.org/keywords/valence","display_name":"valence","score":1.0},{"id":"https://openalex.org/keywords/amigos-dataset","display_name":"AMIGOS dataset","score":0.9070000052452087},{"id":"https://openalex.org/keywords/xgboost","display_name":"XGBoost","score":0.8149999976158142},{"id":"https://openalex.org/keywords/multimodal-emotion-recognition","display_name":"multimodal emotion recognition","score":0.6079999804496765},{"id":"https://openalex.org/keywords/human-machine-interaction","display_name":"human-machine interaction","score":0.8619999885559082}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.618369996547699},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5560535192489624},{"id":"https://openalex.org/C36951298","wikidata":"https://www.wikidata.org/wiki/Q379784","display_name":"Arousal","level":2,"score":0.5527773499488831},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5506765246391296},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5484946966171265},{"id":"https://openalex.org/C168900304","wikidata":"https://www.wikidata.org/wiki/Q171407","display_name":"Valence (chemistry)","level":2,"score":0.5472443103790283},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.5161731839179993},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4567415118217468},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4218143820762634},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.4113547205924988},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35353586077690125},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.16308754682540894},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/iecbes.2018.8626634","doi":"https://doi.org/10.1109/iecbes.2018.8626634","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecbes.2018.8626634","pdf_url":null,"source":{"id":"https://openalex.org/S4306418616","display_name":"IEEE-EMBS Conference on Biomedical Engineering and Sciences","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1809.08410","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1809.08410","pdf_url":"https://arxiv.org/pdf/1809.08410","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.1809.08410","doi":"https://doi.org/10.48550/arxiv.1809.08410","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1809.08410","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1809.08410","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1809.08410","pdf_url":"https://arxiv.org/pdf/1809.08410","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G2763246881","display_name":null,"funder_award_id":"2221-E-002","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G4677303809","display_name":"Multi-Modal Affective Computing Based on Imaging and Environmental Sensors( I )","funder_award_id":"MOST106-2622-8002-013-TA","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G5563719332","display_name":null,"funder_award_id":"106-2221-E-","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G6935793436","display_name":"Multi-Modal Affective Computing Circuits and System for Intelligent Fog-Based Internet of Things","funder_award_id":"MOST106-2221-E002-205-MY3","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G8643384471","display_name":null,"funder_award_id":"MOST 106-2221-E-002","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G939887807","display_name":null,"funder_award_id":"MOST 106","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"},{"id":"https://openalex.org/F4320323900","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2963886099.pdf","grobid_xml":"https://content.openalex.org/works/W2963886099.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W1661671130","https://openalex.org/W1678356000","https://openalex.org/W2002055708","https://openalex.org/W2014683958","https://openalex.org/W2068199737","https://openalex.org/W2074189988","https://openalex.org/W2078015570","https://openalex.org/W2093266575","https://openalex.org/W2182269766","https://openalex.org/W2295598076","https://openalex.org/W2539863713","https://openalex.org/W2547146855","https://openalex.org/W2587612911","https://openalex.org/W2606226674","https://openalex.org/W2778978785","https://openalex.org/W3102476541"],"related_works":["https://openalex.org/W2804419299","https://openalex.org/W7211908966","https://openalex.org/W4296741712","https://openalex.org/W2010827016","https://openalex.org/W2400745442","https://openalex.org/W4391539557","https://openalex.org/W4377094143","https://openalex.org/W2767162439","https://openalex.org/W4403385292","https://openalex.org/W3048648033"],"abstract_inverted_index":{"As":[0],"the":[1,4,8,23,30,37,103],"result":[2],"of":[3,7,32,40],"growing":[5],"importance":[6],"Human":[9],"Computer":[10],"Interface":[11],"system,":[12],"understanding":[13],"human\u2019s":[14],"emotion":[15,33,115],"states":[16],"has":[17,91],"become":[18],"a":[19,92],"consequential":[20],"ability":[21],"for":[22],"computer.":[24],"This":[25],"paper":[26],"aims":[27],"to":[28,113],"improve":[29],"performance":[31,94],"recognition":[34],"by":[35],"conducting":[36],"complexity":[38],"analysis":[39],"physiological":[41],"signals.":[42],"Based":[43],"on":[44],"AMIGOS":[45],"dataset,":[46],"we":[47,109],"extracted":[48],"several":[49],"entropy-domain":[50],"features":[51],"such":[52],"as":[53],"Refined":[54,59],"Composite":[55,60],"Multi-Scale":[56,61,72,76],"Entropy":[57,63,73,78],"(RCMSE),":[58],"Permutation":[62,77],"(RCMPE)":[64],"from":[65,80],"ECG":[66],"and":[67,70,116,122],"GSR":[68,90,100],"signals,":[69],"Multivariate":[71,75],"(MMSE),":[74],"(MMPE)":[79],"EEG,":[81],"respectively.":[82],"The":[83],"statistical":[84],"results":[85],"show":[86],"that":[87],"RCMSE":[88],"in":[89,95,99,106,120,124],"dominating":[93],"arousal,":[96],"while":[97],"RCMPE":[98],"would":[101],"be":[102],"excellent":[104],"feature":[105],"valence.":[107,125],"Furthermore,":[108],"selected":[110],"XGBoost":[111],"model":[112],"predict":[114],"get":[117],"68%":[118],"accuracy":[119],"arousal":[121],"84%":[123]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2019-07-30T00:00:00"}