{"id":"https://openalex.org/W4386212540","doi":"https://doi.org/10.1109/siu59756.2023.10223807","title":"Comparison of Machine Learning Based Emotion Recognition Models Trained Using Physiological Signals","display_name":"Comparison of Machine Learning Based Emotion Recognition Models Trained Using Physiological Signals","publication_year":2023,"publication_date":"2023-07-05","ids":{"openalex":"https://openalex.org/W4386212540","doi":"https://doi.org/10.1109/siu59756.2023.10223807"},"language":"en","primary_location":{"id":"doi:10.1109/siu59756.2023.10223807","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/siu59756.2023.10223807","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 31st Signal Processing and Communications Applications Conference (SIU)","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/A5092705732","display_name":"Deniz Namlisesli","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Deniz Namlisesli","raw_affiliation_strings":["Yeditepe Üniversitesi,Elektrik ve Elektronik Mühendisliği,Istanbul,Türkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yeditepe Üniversitesi,Elektrik ve Elektronik Mühendisliği,Istanbul,Türkiye","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053638194","display_name":"Buket Co\u015fkun","orcid":"https://orcid.org/0000-0001-7115-278X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Buket Co\u015fkun","raw_affiliation_strings":["Yeditepe Üniversitesi,Elektrik ve Elektronik Mühendisliği,Istanbul,Türkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yeditepe Üniversitesi,Elektrik ve Elektronik Mühendisliği,Istanbul,Türkiye","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000054459","display_name":"Duygun Erol Barkana","orcid":"https://orcid.org/0000-0002-8929-0459"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Duygun Erol Barkana","raw_affiliation_strings":["Yeditepe Üniversitesi,Elektrik ve Elektronik Mühendisliği,Istanbul,Türkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yeditepe Üniversitesi,Elektrik ve Elektronik Mühendisliği,Istanbul,Türkiye","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13303041,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9641000032424927,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9641000032424927,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.7873883843421936},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.718739926815033},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7019655108451843},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.602033257484436},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5628765821456909},{"id":"https://openalex.org/keywords/standardization","display_name":"Standardization","score":0.48536431789398193},{"id":"https://openalex.org/keywords/pulse-rate","display_name":"Pulse rate","score":0.4719143211841583},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.46312057971954346},{"id":"https://openalex.org/keywords/skin-temperature","display_name":"Skin temperature","score":0.4102681875228882},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38867422938346863},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.33491116762161255},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17289236187934875},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08038699626922607},{"id":"https://openalex.org/keywords/biomedical-engineering","display_name":"Biomedical engineering","score":0.07979905605316162},{"id":"https://openalex.org/keywords/blood-pressure","display_name":"Blood pressure","score":0.07158884406089783}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7873883843421936},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.718739926815033},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7019655108451843},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.602033257484436},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5628765821456909},{"id":"https://openalex.org/C188087704","wikidata":"https://www.wikidata.org/wiki/Q369577","display_name":"Standardization","level":2,"score":0.48536431789398193},{"id":"https://openalex.org/C2988351347","wikidata":"https://www.wikidata.org/wiki/Q191733","display_name":"Pulse rate","level":3,"score":0.4719143211841583},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.46312057971954346},{"id":"https://openalex.org/C3019079563","wikidata":"https://www.wikidata.org/wiki/Q67173088","display_name":"Skin temperature","level":2,"score":0.4102681875228882},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38867422938346863},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.33491116762161255},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17289236187934875},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08038699626922607},{"id":"https://openalex.org/C136229726","wikidata":"https://www.wikidata.org/wiki/Q327092","display_name":"Biomedical engineering","level":1,"score":0.07979905605316162},{"id":"https://openalex.org/C84393581","wikidata":"https://www.wikidata.org/wiki/Q82642","display_name":"Blood pressure","level":2,"score":0.07158884406089783},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu59756.2023.10223807","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/siu59756.2023.10223807","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 31st Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2378767206","https://openalex.org/W1540871478","https://openalex.org/W328308450","https://openalex.org/W282641168","https://openalex.org/W2376963063","https://openalex.org/W2066396794","https://openalex.org/W2366734808","https://openalex.org/W2002476357","https://openalex.org/W2391444248","https://openalex.org/W2316851791"],"abstract_inverted_index":{"In":[0],"this":[1],"study,":[2],"Blood":[3],"Volume":[4],"Pulse":[5],"(BVP),":[6],"Electrodermal":[7],"Activity":[8],"(EDA),":[9],"and":[10,48,72,90,95],"Skin":[11],"Temperature":[12],"(ST)":[13],"data":[14,30],"were":[15,31],"collected":[16,29,130],"from":[17],"15":[18],"adult":[19],"participants":[20],"to":[21,128],"be":[22],"used":[23],"in":[24],"robot-assisted":[25],"rehabilitation":[26],"studies.":[27],"The":[28,74],"classified":[32],"into":[33],"two":[34],"categories":[35],"based":[36],"on":[37],"the":[38,79,85,93,100,104,110,118,129],"combination":[39],"of":[40],"three":[41],"emotional":[42],"states:":[43],"Positive":[44],"(P),":[45],"Negative":[46],"(U),":[47],"Neutral":[49],"(N),":[50],"using":[51],"machine":[52,58],"learning":[53,59],"methods.":[54],"For":[55],"classification,":[56],"various":[57],"models":[60],"such":[61],"as":[62],"Cascaded":[63,80],"Random":[64,81],"Forests,":[65],"Support":[66],"Vector":[67],"Machines,":[68],"K-Means,":[69],"K-Nearest":[70],"Neighbor,":[71],"XGBoost.":[73],"study":[75],"results":[76],"showed":[77],"that":[78,117],"Forest":[82],"model":[83,102],"achieved":[84,103],"highest":[86,105],"accuracy":[87,106,119],"rate":[88,107,120],"(77%":[89],"76%)":[91],"for":[92,109],"PU":[94],"NP":[96],"classes,":[97],"respectively,":[98],"while":[99],"K-Means":[101],"(75%)":[108],"NU":[111],"class.":[112],"Additionally,":[113],"it":[114],"was":[115,121,125],"found":[116],"higher":[122],"when":[123],"standardization":[124],"not":[126],"applied":[127],"physiological":[131],"data.":[132]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}