{"id":"https://openalex.org/W3015494312","doi":"https://doi.org/10.1109/icassp40776.2020.9054498","title":"Learning Data Representation and Emotion Assessment from Physiological Data","display_name":"Learning Data Representation and Emotion Assessment from Physiological Data","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3015494312","doi":"https://doi.org/10.1109/icassp40776.2020.9054498","mag":"3015494312"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9054498","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054498","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079235620","display_name":"Miguel S. Joaquim","orcid":null},"institutions":[{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]}],"countries":["PT"],"is_corresponding":true,"raw_author_name":"Miguel S. Joaquim","raw_affiliation_strings":["Instituto de Biof\u00edsica e Engenharia Biom\u00e9dica, Universidade de Lisboa, Portugal"],"affiliations":[{"raw_affiliation_string":"Instituto de Biof\u00edsica e Engenharia Biom\u00e9dica, Universidade de Lisboa, Portugal","institution_ids":["https://openalex.org/I141596103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039270869","display_name":"R. Ma\u00e7orano","orcid":null},"institutions":[{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Rita Macorano","raw_affiliation_strings":["Instituto de Biof\u00edsica e Engenharia Biom\u00e9dica, Universidade de Lisboa, Portugal"],"affiliations":[{"raw_affiliation_string":"Instituto de Biof\u00edsica e Engenharia Biom\u00e9dica, Universidade de Lisboa, Portugal","institution_ids":["https://openalex.org/I141596103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059330287","display_name":"Francisca Canais","orcid":null},"institutions":[{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Francisca Canais","raw_affiliation_strings":["Instituto de Biof\u00edsica e Engenharia Biom\u00e9dica, Universidade de Lisboa, Portugal"],"affiliations":[{"raw_affiliation_string":"Instituto de Biof\u00edsica e Engenharia Biom\u00e9dica, Universidade de Lisboa, Portugal","institution_ids":["https://openalex.org/I141596103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062970295","display_name":"Rafael Marconi Ramos","orcid":"https://orcid.org/0000-0001-7422-3213"},"institutions":[{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Rafael Ramos","raw_affiliation_strings":["Instituto de Biof\u00edsica e Engenharia Biom\u00e9dica, Universidade de Lisboa, Portugal"],"affiliations":[{"raw_affiliation_string":"Instituto de Biof\u00edsica e Engenharia Biom\u00e9dica, Universidade de Lisboa, Portugal","institution_ids":["https://openalex.org/I141596103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029045681","display_name":"Ana Fred","orcid":"https://orcid.org/0000-0003-1320-5024"},"institutions":[{"id":"https://openalex.org/I4387152517","display_name":"Instituto Superior T\u00e9cnico","ror":"https://ror.org/03db2by73","country_code":null,"type":"education","lineage":["https://openalex.org/I141596103","https://openalex.org/I4387152517"]},{"id":"https://openalex.org/I4210120471","display_name":"Instituto de Telecomunica\u00e7\u00f5es","ror":"https://ror.org/02ht4fk33","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210120471"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Ana L Fred","raw_affiliation_strings":["Instituto de Telecomunica\u00e7\u00f5es, Instituto Superior T\u00e9cnico, Portugal"],"affiliations":[{"raw_affiliation_string":"Instituto de Telecomunica\u00e7\u00f5es, Instituto Superior T\u00e9cnico, Portugal","institution_ids":["https://openalex.org/I4210120471","https://openalex.org/I4387152517"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005950078","display_name":"Marco Torrado","orcid":"https://orcid.org/0000-0002-4091-745X"},"institutions":[{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Marco Torrado","raw_affiliation_strings":["Faculdade de Medicina da Universidade de Lisboa, Portugal"],"affiliations":[{"raw_affiliation_string":"Faculdade de Medicina da Universidade de Lisboa, Portugal","institution_ids":["https://openalex.org/I141596103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002436291","display_name":"Hugo Alexandre Ferreira","orcid":"https://orcid.org/0000-0002-4323-3942"},"institutions":[{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Hugo A. Ferreira","raw_affiliation_strings":["Instituto de Biof\u00edsica e Engenharia Biom\u00e9dica, Universidade de Lisboa, Portugal"],"affiliations":[{"raw_affiliation_string":"Instituto de Biof\u00edsica e Engenharia Biom\u00e9dica, Universidade de Lisboa, Portugal","institution_ids":["https://openalex.org/I141596103"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5079235620"],"corresponding_institution_ids":["https://openalex.org/I141596103"],"apc_list":null,"apc_paid":null,"fwci":0.1115,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.40106442,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"3452","last_page":"3456"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9976000189781189,"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":0.9976000189781189,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6531476378440857},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6464246511459351},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6273148655891418},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.5916957855224609},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.583615243434906},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5070352554321289},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4785226583480835},{"id":"https://openalex.org/keywords/affect","display_name":"Affect (linguistics)","score":0.4640798568725586},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4633738398551941},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.425750732421875},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4119977653026581},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3641623854637146},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.23597660660743713},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.09189382195472717}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6531476378440857},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6464246511459351},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6273148655891418},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.5916957855224609},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.583615243434906},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5070352554321289},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4785226583480835},{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.4640798568725586},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4633738398551941},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.425750732421875},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4119977653026581},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3641623854637146},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.23597660660743713},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.09189382195472717},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp40776.2020.9054498","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054498","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":100,"referenced_works":["https://openalex.org/W44741455","https://openalex.org/W1482149324","https://openalex.org/W1498436455","https://openalex.org/W1498607720","https://openalex.org/W1528676657","https://openalex.org/W1575023497","https://openalex.org/W1663973292","https://openalex.org/W1947251450","https://openalex.org/W1967900132","https://openalex.org/W1972023085","https://openalex.org/W1972978214","https://openalex.org/W1974410444","https://openalex.org/W1974758710","https://openalex.org/W1983507146","https://openalex.org/W1996614642","https://openalex.org/W1999737321","https://openalex.org/W2002055708","https://openalex.org/W2004204487","https://openalex.org/W2006044072","https://openalex.org/W2009926717","https://openalex.org/W2010450266","https://openalex.org/W2018010458","https://openalex.org/W2019098406","https://openalex.org/W2019664625","https://openalex.org/W2028839769","https://openalex.org/W2033702744","https://openalex.org/W2036124792","https://openalex.org/W2036309320","https://openalex.org/W2037547027","https://openalex.org/W2043037790","https://openalex.org/W2056925087","https://openalex.org/W2062291786","https://openalex.org/W2064770205","https://openalex.org/W2066807504","https://openalex.org/W2077792195","https://openalex.org/W2081420711","https://openalex.org/W2082227074","https://openalex.org/W2083872334","https://openalex.org/W2084674312","https://openalex.org/W2086604324","https://openalex.org/W2090296913","https://openalex.org/W2090834654","https://openalex.org/W2093440960","https://openalex.org/W2095310830","https://openalex.org/W2097431774","https://openalex.org/W2102998034","https://openalex.org/W2107161633","https://openalex.org/W2109412792","https://openalex.org/W2110065044","https://openalex.org/W2110444396","https://openalex.org/W2122464624","https://openalex.org/W2125109199","https://openalex.org/W2125956002","https://openalex.org/W2134050473","https://openalex.org/W2139564752","https://openalex.org/W2143793766","https://openalex.org/W2144756000","https://openalex.org/W2147800946","https://openalex.org/W2148905283","https://openalex.org/W2150364995","https://openalex.org/W2155053670","https://openalex.org/W2156662050","https://openalex.org/W2157198497","https://openalex.org/W2163899311","https://openalex.org/W2165611870","https://openalex.org/W2166281097","https://openalex.org/W2167557160","https://openalex.org/W2170883741","https://openalex.org/W2274642938","https://openalex.org/W2289714406","https://openalex.org/W2344871542","https://openalex.org/W2480675886","https://openalex.org/W2517777200","https://openalex.org/W2536023058","https://openalex.org/W2551454490","https://openalex.org/W2587064974","https://openalex.org/W2601938104","https://openalex.org/W2625929003","https://openalex.org/W2657631929","https://openalex.org/W2740113900","https://openalex.org/W2741907166","https://openalex.org/W2765362197","https://openalex.org/W2767603152","https://openalex.org/W2792764867","https://openalex.org/W2793420802","https://openalex.org/W2794747368","https://openalex.org/W2877900777","https://openalex.org/W2883597459","https://openalex.org/W2913221914","https://openalex.org/W2919115771","https://openalex.org/W2949117887","https://openalex.org/W2963355311","https://openalex.org/W2963919481","https://openalex.org/W2964256526","https://openalex.org/W3105605673","https://openalex.org/W4252684946","https://openalex.org/W4285719527","https://openalex.org/W6735565703","https://openalex.org/W6749186083","https://openalex.org/W6750090285"],"related_works":["https://openalex.org/W2922348724","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3167935049","https://openalex.org/W3029198973","https://openalex.org/W4385544042","https://openalex.org/W2032664813"],"abstract_inverted_index":{"Aiming":[0],"a":[1],"deeper":[2],"understanding":[3],"of":[4,16,29,76,87],"human":[5],"emotional":[6,146],"states,":[7],"we":[8],"explore":[9],"deep":[10],"learning":[11],"techniques":[12],"for":[13,78,83,145],"the":[14,43,57,62,88,102,106,112,117,122,134,138],"analysis":[15],"physiological":[17],"data.":[18],"In":[19],"this":[20],"work,":[21],"raw":[22,44,103],"two-channel":[23],"pre-frontal":[24],"electroencephalography":[25],"and":[26,55,64,81,105,121,124],"photoplethysmography":[27],"signals":[28,59],"25":[30],"subjects":[31],"were":[32,49,116],"collected":[33],"using":[34],"EMOTAI's":[35],"headband":[36],"while":[37],"watching":[38],"commercials.":[39],"Taking":[40],"as":[41],"input":[42],"data,":[45],"convolutional":[46],"neural":[47,139],"networks":[48],"used":[50],"to":[51,61,132],"learn":[52],"data":[53,90],"representations":[54],"classify":[56],"acquired":[58],"according":[60],"Positive":[63,79],"Negative":[65,84],"Affect":[66,80],"Schedule.":[67],"This":[68],"approach":[69],"achieved":[70],"promising":[71],"results,":[72],"with":[73,111],"average":[74],"F1-scores":[75],"76.6%":[77],"83.3%":[82],"Affect.":[85],"Interpretation":[86],"learned":[89],"representation":[91],"was":[92],"attempted":[93],"by":[94,137],"computing":[95],"correlation":[96],"values":[97],"between":[98],"features":[99,110,130],"extracted":[100,129],"from":[101],"inputs":[104],"final":[107],"classification.":[108],"The":[109,128],"most":[113],"significant":[114],"correlations":[115],"alpha":[118],"band":[119],"power,":[120],"asymmetry":[123],"phase":[125],"synchronization":[126],"indexes.":[127],"seem":[131],"match":[133],"ones":[135],"learnt":[136],"network,":[140],"hence":[141],"endorsing":[142],"their":[143],"validity":[144],"studies.":[147]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
