Emotion Recognition System Based on EEG Signal Analysis Using Auditory Stimulation: Experimental Design

Abstract

In this document the design of an emotion recognition system based on the EEG signals analysis based on auditory stimulation is proposed. Here, an auditory emotion recognition protocol using the International Affective Digitalized Sounds (IADS) second edition database is introduced, in which the database is divided into three groups: Negative, Positive and Neutral sonorous stimuli according to their normative mean valence and arousal ratings. The protocol was implemented through the psychopy3 stimulation libraries, and the signal acquisition is made using the Emotiv EPOC+ device through a software developed in the python environment. The stimulation protocol and the acquisition process are synchronized through pulses allowing to carryout stimulus register and to control the experiment.