Emotion recognition techniques using physiological signals and video games –Systematic review–

Emotion recognition systems from physiological signals are innovative techniques that allow studying the behavior and reaction of an individual when exposed to information that may evoke emotional reactions through multimedia tools, for example, video games. This type of approach is used to identify...

Full description

Saved in:
Bibliographic Details
Main Authors: Callejas-Cuervo, Mauro, Martínez-Tejada, Laura Alejandra, Alarcón-Aldana, Andrea Catherine
Format: Online
Language:eng
Published: Universidad Pedagógica y Tecnológica de Colombia 2017
Subjects:
Online Access:https://revistas.uptc.edu.co/index.php/ingenieria/article/view/7310
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1801706079510331392
author Callejas-Cuervo, Mauro
Martínez-Tejada, Laura Alejandra
Alarcón-Aldana, Andrea Catherine
author_facet Callejas-Cuervo, Mauro
Martínez-Tejada, Laura Alejandra
Alarcón-Aldana, Andrea Catherine
author_sort Callejas-Cuervo, Mauro
collection OJS
description Emotion recognition systems from physiological signals are innovative techniques that allow studying the behavior and reaction of an individual when exposed to information that may evoke emotional reactions through multimedia tools, for example, video games. This type of approach is used to identify the behavior of an individual in different fields, such as medicine, education, psychology, etc., in order to assess the effect that the content has on the individual that is interacting with it. This article shows a systematic review of articles that report studies on emotion recognition with physiological signals and video games, between January 2010 and April 2016. We searched in eight databases, and found 15 articles that met the selection criteria. With this systematic review, we found that the use of video games as emotion stimulation tools has become an innovative field of study, due to their potential to involve stories and multimedia tools that can interact directly with the person in fields like rehabilitation. We detected clear examples where video games and physiological signal measurement became an important approach in rehabilitation processes, for example, in Posttraumatic Stress Disorder (PTSD) treatments.
format Online
id oai:oai.revistas.uptc.edu.co:article-7310
institution Revista Facultad de Ingeniería
language eng
publishDate 2017
publisher Universidad Pedagógica y Tecnológica de Colombia
record_format ojs
spelling oai:oai.revistas.uptc.edu.co:article-73102021-07-13T02:29:50Z Emotion recognition techniques using physiological signals and video games –Systematic review– Técnicas de reconocimiento emocional utilizando señales fisiológicas y videojuegos –revisión sistemática– Callejas-Cuervo, Mauro Martínez-Tejada, Laura Alejandra Alarcón-Aldana, Andrea Catherine Biofeedback Reconocimiento de emociones Señales fisiológicas Videojuegos Emotion recognition systems from physiological signals are innovative techniques that allow studying the behavior and reaction of an individual when exposed to information that may evoke emotional reactions through multimedia tools, for example, video games. This type of approach is used to identify the behavior of an individual in different fields, such as medicine, education, psychology, etc., in order to assess the effect that the content has on the individual that is interacting with it. This article shows a systematic review of articles that report studies on emotion recognition with physiological signals and video games, between January 2010 and April 2016. We searched in eight databases, and found 15 articles that met the selection criteria. With this systematic review, we found that the use of video games as emotion stimulation tools has become an innovative field of study, due to their potential to involve stories and multimedia tools that can interact directly with the person in fields like rehabilitation. We detected clear examples where video games and physiological signal measurement became an important approach in rehabilitation processes, for example, in Posttraumatic Stress Disorder (PTSD) treatments. Los sistemas de reconocimiento emocional a partir de señales fisiológicas son técnicas innovadoras que permiten estudiar el comportamiento y la reacción de un individuo cuando está expuesto a información que puede evocar reacciones emotivas por medio de herramientas multimedia como, por ejemplo, los videojuegos. Este tipo de enfoque se utiliza para identificar el comportamiento de un individuo en diferentes campos, entre los que están la medicina, la educación y la psicología, entre otros, para evaluar el efecto que tienen los contenidos con los que interactúa. La revisión sistemática que aquí se expone, de artículos que reportan trabajos de reconocimiento emocional con señales fisiológicas y videojuegos entre enero de 2010 y abril de 2016, se realizó con 15 artículos, hallados en ocho bases de datos, los cuales cumplían con los criterios de selección de la búsqueda. Esta revisión sistemática reveló que el uso de videojuegos como herramientas de estimulación emocional se ha convertido en un campo de estudio innovador, debido a su potencial para involucrar historias y herramientas multimedia que pueden interactuar directamente con la persona en campos como la rehabilitación. Se detectaron ejemplos claros donde los videojuegos y la medición de la señal fisiológica se convierten en un enfoque importante para el proceso de rehabilitación, por ejemplo, en los tratamientos de trastorno por estrés postraumático (TEPT). Universidad Pedagógica y Tecnológica de Colombia 2017-09-05 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion investigation application/pdf application/xml https://revistas.uptc.edu.co/index.php/ingenieria/article/view/7310 10.19053/01211129.v26.n46.2017.7310 Revista Facultad de Ingeniería; Vol. 26 No. 46 (2017); 19-28 Revista Facultad de Ingeniería; Vol. 26 Núm. 46 (2017); 19-28 2357-5328 0121-1129 eng https://revistas.uptc.edu.co/index.php/ingenieria/article/view/7310/5704 https://revistas.uptc.edu.co/index.php/ingenieria/article/view/7310/6418
spellingShingle Biofeedback
Reconocimiento de emociones
Señales fisiológicas
Videojuegos
Callejas-Cuervo, Mauro
Martínez-Tejada, Laura Alejandra
Alarcón-Aldana, Andrea Catherine
Emotion recognition techniques using physiological signals and video games –Systematic review–
title Emotion recognition techniques using physiological signals and video games –Systematic review–
title_alt Técnicas de reconocimiento emocional utilizando señales fisiológicas y videojuegos –revisión sistemática–
title_full Emotion recognition techniques using physiological signals and video games –Systematic review–
title_fullStr Emotion recognition techniques using physiological signals and video games –Systematic review–
title_full_unstemmed Emotion recognition techniques using physiological signals and video games –Systematic review–
title_short Emotion recognition techniques using physiological signals and video games –Systematic review–
title_sort emotion recognition techniques using physiological signals and video games systematic review
topic Biofeedback
Reconocimiento de emociones
Señales fisiológicas
Videojuegos
topic_facet Biofeedback
Reconocimiento de emociones
Señales fisiológicas
Videojuegos
url https://revistas.uptc.edu.co/index.php/ingenieria/article/view/7310
work_keys_str_mv AT callejascuervomauro emotionrecognitiontechniquesusingphysiologicalsignalsandvideogamessystematicreview
AT martineztejadalauraalejandra emotionrecognitiontechniquesusingphysiologicalsignalsandvideogamessystematicreview
AT alarconaldanaandreacatherine emotionrecognitiontechniquesusingphysiologicalsignalsandvideogamessystematicreview
AT callejascuervomauro tecnicasdereconocimientoemocionalutilizandosenalesfisiologicasyvideojuegosrevisionsistematica
AT martineztejadalauraalejandra tecnicasdereconocimientoemocionalutilizandosenalesfisiologicasyvideojuegosrevisionsistematica
AT alarconaldanaandreacatherine tecnicasdereconocimientoemocionalutilizandosenalesfisiologicasyvideojuegosrevisionsistematica