Feature Extraction and Classification of Biosignals - Emotion Valence Detection from EEG Signals

Bibliographic Details
Main Author: Tomé, A. M.
Publication Date: 2013
Other Authors: Hidalgo-Muñoz, A.R., López, M.M., Teixeira, Ana, Santos, I.M., Pereira, A.T., Vázquez-Marrufo, M., Lang, E.W.
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10400.26/47375
Summary: In thisworkavalencerecognitionsystembasedonelectroencephalogramsispresented.Theperformanceof the systemisevaluatedfortwosettings:singlesubjects(intra-subject)andbetweensubjects(inter-subject). The featureextractionisbasedonmeasuresofrelativeenergiescomputedinshorttimeintervalsandcertain frequencybands.Thefeatureextractionisperformedeitheronsignalsaveragedoveranensembleoftrialsor on single-trialresponsesignals.Thesubsequentclassificationstageisbasedonanensembleclassifier,i.e.a random forestoftreeclassifiers.Theclassificationisperformedconsideringtheensembleaverageresponsesof all subjects(inter-subject)orconsideringthesingle-trialresponsesofsinglesubjects(intra-subject).Applying a properimportancemeasureoftheclassifier,featureeliminationhasbeenusedtoidentifythemostrelevant features of the decision making.
id RCAP_8eff66f14c851f87449e75dcb92c6f90
oai_identifier_str oai:comum.rcaap.pt:10400.26/47375
network_acronym_str RCAP
network_name_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository_id_str https://opendoar.ac.uk/repository/7160
spelling Feature Extraction and Classification of Biosignals - Emotion Valence Detection from EEG SignalsValence DetectionRandomForestERD/ERSIn thisworkavalencerecognitionsystembasedonelectroencephalogramsispresented.Theperformanceof the systemisevaluatedfortwosettings:singlesubjects(intra-subject)andbetweensubjects(inter-subject). The featureextractionisbasedonmeasuresofrelativeenergiescomputedinshorttimeintervalsandcertain frequencybands.Thefeatureextractionisperformedeitheronsignalsaveragedoveranensembleoftrialsor on single-trialresponsesignals.Thesubsequentclassificationstageisbasedonanensembleclassifier,i.e.a random forestoftreeclassifiers.Theclassificationisperformedconsideringtheensembleaverageresponsesof all subjects(inter-subject)orconsideringthesingle-trialresponsesofsinglesubjects(intra-subject).Applying a properimportancemeasureoftheclassifier,featureeliminationhasbeenusedtoidentifythemostrelevant features of the decision making.SCITEPRESSRepositório ComumTomé, A. M.Hidalgo-Muñoz, A.R.López, M.M.Teixeira, AnaSantos, I.M.Pereira, A.T.Vázquez-Marrufo, M.Lang, E.W.2023-10-20T15:00:20Z20132013-01-01T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10400.26/47375eng10.5220/0004233100540060info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-05-02T11:28:35Zoai:comum.rcaap.pt:10400.26/47375Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T06:48:35.803543Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Feature Extraction and Classification of Biosignals - Emotion Valence Detection from EEG Signals
title Feature Extraction and Classification of Biosignals - Emotion Valence Detection from EEG Signals
spellingShingle Feature Extraction and Classification of Biosignals - Emotion Valence Detection from EEG Signals
Tomé, A. M.
Valence Detection
RandomForest
ERD/ERS
title_short Feature Extraction and Classification of Biosignals - Emotion Valence Detection from EEG Signals
title_full Feature Extraction and Classification of Biosignals - Emotion Valence Detection from EEG Signals
title_fullStr Feature Extraction and Classification of Biosignals - Emotion Valence Detection from EEG Signals
title_full_unstemmed Feature Extraction and Classification of Biosignals - Emotion Valence Detection from EEG Signals
title_sort Feature Extraction and Classification of Biosignals - Emotion Valence Detection from EEG Signals
author Tomé, A. M.
author_facet Tomé, A. M.
Hidalgo-Muñoz, A.R.
López, M.M.
Teixeira, Ana
Santos, I.M.
Pereira, A.T.
Vázquez-Marrufo, M.
Lang, E.W.
author_role author
author2 Hidalgo-Muñoz, A.R.
López, M.M.
Teixeira, Ana
Santos, I.M.
Pereira, A.T.
Vázquez-Marrufo, M.
Lang, E.W.
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Repositório Comum
dc.contributor.author.fl_str_mv Tomé, A. M.
Hidalgo-Muñoz, A.R.
López, M.M.
Teixeira, Ana
Santos, I.M.
Pereira, A.T.
Vázquez-Marrufo, M.
Lang, E.W.
dc.subject.por.fl_str_mv Valence Detection
RandomForest
ERD/ERS
topic Valence Detection
RandomForest
ERD/ERS
description In thisworkavalencerecognitionsystembasedonelectroencephalogramsispresented.Theperformanceof the systemisevaluatedfortwosettings:singlesubjects(intra-subject)andbetweensubjects(inter-subject). The featureextractionisbasedonmeasuresofrelativeenergiescomputedinshorttimeintervalsandcertain frequencybands.Thefeatureextractionisperformedeitheronsignalsaveragedoveranensembleoftrialsor on single-trialresponsesignals.Thesubsequentclassificationstageisbasedonanensembleclassifier,i.e.a random forestoftreeclassifiers.Theclassificationisperformedconsideringtheensembleaverageresponsesof all subjects(inter-subject)orconsideringthesingle-trialresponsesofsinglesubjects(intra-subject).Applying a properimportancemeasureoftheclassifier,featureeliminationhasbeenusedtoidentifythemostrelevant features of the decision making.
publishDate 2013
dc.date.none.fl_str_mv 2013
2013-01-01T00:00:00Z
2023-10-20T15:00:20Z
dc.type.driver.fl_str_mv conference object
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.26/47375
url http://hdl.handle.net/10400.26/47375
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.5220/0004233100540060
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv SCITEPRESS
publisher.none.fl_str_mv SCITEPRESS
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
_version_ 1833602793250750464

Similar Items