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Revista Facultad de Ingeniería

Print version ISSN 0121-1129

Abstract

CALLEJAS-CUERVO, Mauro; MARTINEZ-TEJADA, Laura Alejandra  and  ALARCON-ALDANA, Andrea Catherine. Emotion recognition techniques using physiological signals and video games -Systematic review-. Rev. Fac. ing. [online]. 2017, vol.26, n.46, pp.19-28. ISSN 0121-1129.  http://dx.doi.org/10.19053/01211129.v26.n46.2017.7310.

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.

Keywords : Biofeedbac; Emotion recognition; Physiological signals; Video games.

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