{"id":"https://openalex.org/W2593726055","doi":"https://doi.org/10.5220/0006147801120118","title":"Enhancing Emotion Recognition from ECG Signals using Supervised Dimensionality Reduction","display_name":"Enhancing Emotion Recognition from ECG Signals using Supervised Dimensionality Reduction","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2593726055","doi":"https://doi.org/10.5220/0006147801120118","mag":"2593726055"},"language":"en","primary_location":{"id":"doi:10.5220/0006147801120118","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0006147801120118","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0006147801120118","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051022458","display_name":"Hany Ferdinando","orcid":"https://orcid.org/0000-0003-0857-2946"},"institutions":[{"id":"https://openalex.org/I98381234","display_name":"University of Oulu","ror":"https://ror.org/03yj89h83","country_code":"FI","type":"education","lineage":["https://openalex.org/I98381234"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Hany Ferdinando","raw_affiliation_strings":["University of Oulu and Petra Christian University, Finland"],"affiliations":[{"raw_affiliation_string":"University of Oulu and Petra Christian University, Finland","institution_ids":["https://openalex.org/I98381234"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059580063","display_name":"Tapio Sepp\u00e4nen","orcid":"https://orcid.org/0000-0002-3963-0750"},"institutions":[{"id":"https://openalex.org/I98381234","display_name":"University of Oulu","ror":"https://ror.org/03yj89h83","country_code":"FI","type":"education","lineage":["https://openalex.org/I98381234"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Tapio Sepp\u00e4nen","raw_affiliation_strings":["University of Oulu, Finland"],"affiliations":[{"raw_affiliation_string":"University of Oulu, Finland","institution_ids":["https://openalex.org/I98381234"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109308060","display_name":"Esko Alasaarela","orcid":null},"institutions":[{"id":"https://openalex.org/I98381234","display_name":"University of Oulu","ror":"https://ror.org/03yj89h83","country_code":"FI","type":"education","lineage":["https://openalex.org/I98381234"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Esko Alasaarela","raw_affiliation_strings":["University of Oulu, Finland"],"affiliations":[{"raw_affiliation_string":"University of Oulu, Finland","institution_ids":["https://openalex.org/I98381234"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5051022458"],"corresponding_institution_ids":["https://openalex.org/I98381234"],"apc_list":null,"apc_paid":null,"fwci":5.0053,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.95287241,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"112","last_page":"118"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.7472000122070312,"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":0.7472000122070312,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.6383000016212463,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.5946999788284302,"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/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.7893108129501343},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6860431432723999},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6032705307006836},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5975782871246338},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5871420502662659},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.512155294418335},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.45622262358665466},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3210923671722412},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12048912048339844}],"concepts":[{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.7893108129501343},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6860431432723999},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6032705307006836},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5975782871246338},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5871420502662659},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.512155294418335},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.45622262358665466},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3210923671722412},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12048912048339844},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5220/0006147801120118","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0006147801120118","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods","raw_type":"proceedings-article"},{"id":"pmh:oai:oulu.fi:nbnfi-fe2019081924650","is_oa":false,"landing_page_url":"http://urn.fi/urn:nbn:fi-fe2019081924650","pdf_url":null,"source":{"id":"https://openalex.org/S4306400284","display_name":"University of Oulu Repository (University of Oulu)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98381234","host_organization_name":"University of Oulu","host_organization_lineage":["https://openalex.org/I98381234"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"doi:10.5220/0006147801120118","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0006147801120118","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3176621072","https://openalex.org/W2995475466","https://openalex.org/W2356785732","https://openalex.org/W4380789568","https://openalex.org/W4239033281","https://openalex.org/W3105745662","https://openalex.org/W4210430843","https://openalex.org/W4379523021","https://openalex.org/W2571325231","https://openalex.org/W3126677997"],"abstract_inverted_index":{"Dimensionality":[0],"reduction":[1],"(DR)":[2],"is":[3,68,156,167],"an":[4],"important":[5],"issue":[6],"in":[7,56],"classification":[8],"and":[9,50,74,103,110,132],"pattern":[10],"recognition":[11,58],"process.":[12],"Using":[13],"features":[14,146],"with":[15,147],"lower":[16],"dimensionality":[17,40],"helps":[18],"the":[19,31,34,64,112,115,122,145,163],"machine":[20],"learning":[21],"algorithms":[22],"work":[23],"more":[24],"efficient.":[25],"Besides,":[26],"it":[27],"also":[28],"can":[29],"improve":[30],"performance":[32],"of":[33,72,86],"system.":[35],"This":[36],"paper":[37],"explores":[38],"supervised":[39],"reduction,":[41],"LDA":[42],"(Linear":[43],"Discriminant":[44],"Analysis),":[45,49],"NCA":[46,113],"(Neighbourhood":[47],"Components":[48],"MCML":[51],"(Maximally":[52],"Collapsing":[53],"Metric":[54],"Learning),":[55],"emotion":[57],"based":[59,82],"on":[60,83],"ECG":[61],"signals":[62],"from":[63,128,135,150,170],"Mahnob-HCI":[65],"database.":[66],"It":[67],"a":[69,91],"3-class":[70],"problem":[71],"valence":[73,125,161],"arousal.":[75],"Features":[76],"for":[77,124,133,160,165],"kNN":[78],"(k-nearest":[79],"neighbour)":[80],"are":[81],"statistical":[84],"distribution":[85],"dominant":[87],"frequencies":[88],"after":[89,143],"applying":[90],"bivariate":[92],"empirical":[93],"mode":[94],"decomposition.":[95],"The":[96,118],"results":[97],"were":[98],"validated":[99],"using":[100,139],"10-fold":[101,140],"cross":[102,141],"LOSO":[104,153],"(leave-one-subject-out)":[105],"validations.":[106],"Among":[107],"LDA,":[108],"NCA,":[109],"MCML,":[111],"outperformed":[114],"other":[116],"methods.":[117],"experiments":[119],"showed":[120],"that":[121],"accuracy":[123],"was":[126],"improved":[127],"55.8%":[129],"to":[130,137,172],"64.1%,":[131],"arousal":[134,166],"59.7%":[136],"66.1%":[138],"validation":[142],"transforming":[144],"projection":[148],"matrices":[149],"NCA.":[151],"For":[152],"validation,":[154],"there":[155],"no":[157],"significant":[158],"improvement":[159,164],"while":[162],"significant,":[168],"i.e.":[169],"58.7%":[171],"69.6%.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}