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Proposal of an Open Hardware-Software System for the Recognition of Emotions from Physiological Variables

  • Mauricio Sánchez Barragán
  • Luis Alejandro Solarte Moncayo
  • Gabriel Elias Chanchí Golondrino
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 847)

Abstract

In this article, we present the design and construction of an open hardware-software system responsible for the characterization of the user context, through physiological signals such as: heart rate variability (HRV), galvanic skin response (GSR) and electromyographic signals (EMG), which allows to establish significant levels of mental stress (SI), arousal and valence, metrics important that make possible the inference of emotional states in the person. In addition, we describe the development of computational method for the inference of emotions and the mathematical calculations that involve this process. Finally, the hardware software system validation is presented through a video on demand service based on emotions, which includes a recommendation system that suggests a set of contents based on the user’s emotional behavior during the interaction with the service. This system aims to serve as a reference for the construction of other services based on the study of the user’s emotional behavior in different application contexts.

Keywords

Arousal Emotions Physiological signals and valence 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.University Institution Colegio Mayor del CaucaPopayánColombia

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