An approach to emotion recognition in single-channel EEG signals: a mother child interaction
In this work, we perform a first approach to emotion recognition from EEG single channel signals extracted in four (4) mother-child dyads experiment in developmental psychology -- Single channel EEG signals are analyzed and processed using several window sizes by performing a statistical analysis ov...
- Autores:
-
Gómez, A.
Quintero, L.
López, N.
Castro, J.
Gómez, A.
Quintero, L.
López, N.
Castro, J.
- Tipo de recurso:
- Fecha de publicación:
- 2016
- Institución:
- Universidad EAFIT
- Repositorio:
- Repositorio EAFIT
- Idioma:
- eng
- OAI Identifier:
- oai:repository.eafit.edu.co:10784/8372
- Acceso en línea:
- http://hdl.handle.net/10784/8372
- Palabra clave:
- Sistemas dinámicos
Atractores (Matemáticas)
ELECTROENCEFALOGRAFÍA
REDES NEURALES (COMPUTADORES)
EMOCIONES
PROCESOS DE BIFURCACIÓN
PROCESOS ESTOCÁSTICOS
COMUNICACIÓN NO VERBAL
EXPRESIÓN
PROCESAMIENTO DE SEÑALES
MADRE E HIJO
SISTEMAS DE RECONOCIMIENTO
Electroencephalography
Neural networks (Computer science)
Emotions
Branching processes
Stochastic processes
Nonverbal communication
Expression
Signal processing
Mother and child
Recognition systems
Electroencephalography
Neural networks (Computer science)
Emotions
Branching processes
Stochastic processes
Nonverbal communication
Expression
Signal processing
Mother and child
Recognition systems
Sistemas dinámicos
Atractores (Matemáticas)
- Rights
- License
- Acceso abierto
id |
REPOEAFIT2_6a7c7d1b7a5719c855aa5f7cf285c099 |
---|---|
oai_identifier_str |
oai:repository.eafit.edu.co:10784/8372 |
network_acronym_str |
REPOEAFIT2 |
network_name_str |
Repositorio EAFIT |
repository_id_str |
|
spelling |
20162016-05-11T20:44:07Z20162016-05-11T20:44:07Z1742-6596http://hdl.handle.net/10784/837210.1088/1742-6596/705/1/012051In this work, we perform a first approach to emotion recognition from EEG single channel signals extracted in four (4) mother-child dyads experiment in developmental psychology -- Single channel EEG signals are analyzed and processed using several window sizes by performing a statistical analysis over features in the time and frequency domains -- Finally, a neural network obtained an average accuracy rate of 99% of classification in two emotional states such as happiness and sadness20th Argentinean Bioengineering Society Congress, SABI 2015 (XX Congreso Argentino de Bioingeniería y IX Jornadas de Ingeniería Clínica)28–30 October 2015, San Nicolás de los Arroyos, Argentinaapplication/pdfengIOP PublishingJournal of Physics: Conference Series; Vol. 705, Núm. 1 (2016); pp.8http://dx.doi.org/10.1088/1742-6596/705/1/012051http://dx.doi.org/10.1088/1742-6596/705/1/012051Journal of Physics: Conference SeriesSistemas dinámicosAtractores (Matemáticas)ELECTROENCEFALOGRAFÍAREDES NEURALES (COMPUTADORES)EMOCIONESPROCESOS DE BIFURCACIÓNPROCESOS ESTOCÁSTICOSCOMUNICACIÓN NO VERBALEXPRESIÓNPROCESAMIENTO DE SEÑALESMADRE E HIJOSISTEMAS DE RECONOCIMIENTOElectroencephalographyNeural networks (Computer science)EmotionsBranching processesStochastic processesNonverbal communicationExpressionSignal processingMother and childRecognition systemsElectroencephalographyNeural networks (Computer science)EmotionsBranching processesStochastic processesNonverbal communicationExpressionSignal processingMother and childRecognition systemsSistemas dinámicosAtractores (Matemáticas)An approach to emotion recognition in single-channel EEG signals: a mother child interactioninfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionarticlearticleinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionpublishedVersionArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Acceso abiertoCreative Commons Attribution 3.0 licence (CC BY 3.0)http://purl.org/coar/access_right/c_abf2Universidad EAFIT. Escuela de Cienciasagomez13@eafit.edu.cooquinte1@eafit.edu.coGómez, A.Quintero, L.López, N.Castro, J.Gómez, A.Quintero, L.López, N.Castro, J.Mathematical Modeling Research Group, GRIMMAT, School of Sciences, Universidad EAFIT, Medellín, ColombiaMedical Technology Laboratory, Faculty of Engineering, Universidad Nacional de San Juan, ArgentinaPsychology, Education and Culture Research Group Faculty of Social Science Politécnico Grancolombiano University Institution, ArgentinaModelado MatemáticoJournal of Physics: Conference Series705118ORIGINALJPCS_705_1_012051.pdfJPCS_705_1_012051.pdfTexto completoapplication/pdf793536https://repository.eafit.edu.co/bitstreams/c0ee8acd-afc3-4aed-814e-2581a8c9305d/download77674299d8fd7a3702ed8eaded147866MD5110784/8372oai:repository.eafit.edu.co:10784/83722022-08-26 09:38:03.992open.accesshttps://repository.eafit.edu.coRepositorio Institucional Universidad EAFITrepositorio@eafit.edu.co |
dc.title.eng.fl_str_mv |
An approach to emotion recognition in single-channel EEG signals: a mother child interaction |
title |
An approach to emotion recognition in single-channel EEG signals: a mother child interaction |
spellingShingle |
An approach to emotion recognition in single-channel EEG signals: a mother child interaction Sistemas dinámicos Atractores (Matemáticas) ELECTROENCEFALOGRAFÍA REDES NEURALES (COMPUTADORES) EMOCIONES PROCESOS DE BIFURCACIÓN PROCESOS ESTOCÁSTICOS COMUNICACIÓN NO VERBAL EXPRESIÓN PROCESAMIENTO DE SEÑALES MADRE E HIJO SISTEMAS DE RECONOCIMIENTO Electroencephalography Neural networks (Computer science) Emotions Branching processes Stochastic processes Nonverbal communication Expression Signal processing Mother and child Recognition systems Electroencephalography Neural networks (Computer science) Emotions Branching processes Stochastic processes Nonverbal communication Expression Signal processing Mother and child Recognition systems Sistemas dinámicos Atractores (Matemáticas) |
title_short |
An approach to emotion recognition in single-channel EEG signals: a mother child interaction |
title_full |
An approach to emotion recognition in single-channel EEG signals: a mother child interaction |
title_fullStr |
An approach to emotion recognition in single-channel EEG signals: a mother child interaction |
title_full_unstemmed |
An approach to emotion recognition in single-channel EEG signals: a mother child interaction |
title_sort |
An approach to emotion recognition in single-channel EEG signals: a mother child interaction |
dc.creator.fl_str_mv |
Gómez, A. Quintero, L. López, N. Castro, J. Gómez, A. Quintero, L. López, N. Castro, J. |
dc.contributor.department.spa.fl_str_mv |
Universidad EAFIT. Escuela de Ciencias |
dc.contributor.eafitauthor.none.fl_str_mv |
agomez13@eafit.edu.co oquinte1@eafit.edu.co |
dc.contributor.author.spa.fl_str_mv |
Gómez, A. Quintero, L. López, N. Castro, J. |
dc.contributor.author.none.fl_str_mv |
Gómez, A. Quintero, L. López, N. Castro, J. |
dc.contributor.affiliation.spa.fl_str_mv |
Mathematical Modeling Research Group, GRIMMAT, School of Sciences, Universidad EAFIT, Medellín, Colombia Medical Technology Laboratory, Faculty of Engineering, Universidad Nacional de San Juan, Argentina Psychology, Education and Culture Research Group Faculty of Social Science Politécnico Grancolombiano University Institution, Argentina |
dc.contributor.researchgroup.spa.fl_str_mv |
Modelado Matemático |
dc.subject.none.fl_str_mv |
Sistemas dinámicos Atractores (Matemáticas) |
topic |
Sistemas dinámicos Atractores (Matemáticas) ELECTROENCEFALOGRAFÍA REDES NEURALES (COMPUTADORES) EMOCIONES PROCESOS DE BIFURCACIÓN PROCESOS ESTOCÁSTICOS COMUNICACIÓN NO VERBAL EXPRESIÓN PROCESAMIENTO DE SEÑALES MADRE E HIJO SISTEMAS DE RECONOCIMIENTO Electroencephalography Neural networks (Computer science) Emotions Branching processes Stochastic processes Nonverbal communication Expression Signal processing Mother and child Recognition systems Electroencephalography Neural networks (Computer science) Emotions Branching processes Stochastic processes Nonverbal communication Expression Signal processing Mother and child Recognition systems Sistemas dinámicos Atractores (Matemáticas) |
dc.subject.lemb.none.fl_str_mv |
ELECTROENCEFALOGRAFÍA REDES NEURALES (COMPUTADORES) EMOCIONES PROCESOS DE BIFURCACIÓN PROCESOS ESTOCÁSTICOS COMUNICACIÓN NO VERBAL EXPRESIÓN PROCESAMIENTO DE SEÑALES MADRE E HIJO SISTEMAS DE RECONOCIMIENTO |
dc.subject.keyword.none.fl_str_mv |
Electroencephalography Neural networks (Computer science) Emotions Branching processes Stochastic processes Nonverbal communication Expression Signal processing Mother and child Recognition systems |
dc.subject.keyword.eng.fl_str_mv |
Electroencephalography Neural networks (Computer science) Emotions Branching processes Stochastic processes Nonverbal communication Expression Signal processing Mother and child Recognition systems |
dc.subject.keyword.spa.fl_str_mv |
Sistemas dinámicos Atractores (Matemáticas) |
description |
In this work, we perform a first approach to emotion recognition from EEG single channel signals extracted in four (4) mother-child dyads experiment in developmental psychology -- Single channel EEG signals are analyzed and processed using several window sizes by performing a statistical analysis over features in the time and frequency domains -- Finally, a neural network obtained an average accuracy rate of 99% of classification in two emotional states such as happiness and sadness |
publishDate |
2016 |
dc.date.available.none.fl_str_mv |
2016-05-11T20:44:07Z |
dc.date.issued.none.fl_str_mv |
2016 |
dc.date.accessioned.none.fl_str_mv |
2016-05-11T20:44:07Z |
dc.date.none.fl_str_mv |
2016 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion article |
dc.type.eng.fl_str_mv |
article info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion publishedVersion |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.local.spa.fl_str_mv |
Artículo |
status_str |
publishedVersion |
dc.identifier.issn.none.fl_str_mv |
1742-6596 |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/10784/8372 |
dc.identifier.doi.none.fl_str_mv |
10.1088/1742-6596/705/1/012051 |
identifier_str_mv |
1742-6596 10.1088/1742-6596/705/1/012051 |
url |
http://hdl.handle.net/10784/8372 |
dc.language.iso.eng.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.spa.fl_str_mv |
Journal of Physics: Conference Series; Vol. 705, Núm. 1 (2016); pp.8 |
dc.relation.isversionof.none.fl_str_mv |
http://dx.doi.org/10.1088/1742-6596/705/1/012051 |
dc.relation.uri.none.fl_str_mv |
http://dx.doi.org/10.1088/1742-6596/705/1/012051 |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.local.spa.fl_str_mv |
Acceso abierto |
dc.rights.license.eng.fl_str_mv |
Creative Commons Attribution 3.0 licence (CC BY 3.0) |
rights_invalid_str_mv |
Acceso abierto Creative Commons Attribution 3.0 licence (CC BY 3.0) http://purl.org/coar/access_right/c_abf2 |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
IOP Publishing |
publisher.none.fl_str_mv |
IOP Publishing |
dc.source.none.fl_str_mv |
Journal of Physics: Conference Series |
institution |
Universidad EAFIT |
bitstream.url.fl_str_mv |
https://repository.eafit.edu.co/bitstreams/c0ee8acd-afc3-4aed-814e-2581a8c9305d/download |
bitstream.checksum.fl_str_mv |
77674299d8fd7a3702ed8eaded147866 |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 |
repository.name.fl_str_mv |
Repositorio Institucional Universidad EAFIT |
repository.mail.fl_str_mv |
repositorio@eafit.edu.co |
_version_ |
1814110623435325440 |