Experimental Setup and Protocol for Creating an EEG-signal Database for Emotion Analysis Using Virtual Reality Scenarios

Elías Valderrama, Auxiliadora Vega, Iván Durán-Díaz, Juan Becerra, Irene Fondón García

2023

Abstract

Automatic emotion recognition systems aim to identify human emotions from physiological signals, voice, facial expression or even physical activity. Among these types of signals, the usefulness of signals from electroencephalography (EEG) should be highlighted. However, there are few publicly accessible EEG databases in which the induction of emotions is performed through virtual reality (VR) scenarios. Recent studies have shown that VR has great potential to evoke emotions in an effective and natural way within a laboratory environment. This work describes an experimental setup developed for the acquisition of EEG signals in which the induction of emotions is performed through a VR environment. Participants are introduced to the VR environment via head-mounted displays (HMD) and 14-channel EEG signals are collected. The experiments carried out with 12 participants (5 male and 7 female) are also detailed, with promising results, which allow us to think about the future development of our own dataset.

Paper Citation

in Harvard Style

Valderrama E., Vega A., Durán-Díaz I., Becerra J. and Fondón García I. (2023). Experimental Setup and Protocol for Creating an EEG-signal Database for Emotion Analysis Using Virtual Reality Scenarios. In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 1: GRAPP; ISBN 978-989-758-634-7, SciTePress, pages 75-86. DOI: 10.5220/0011656600003417

in Bibtex Style

@conference{grapp23,
author={Elías Valderrama and Auxiliadora Vega and Iván Durán-Díaz and Juan Becerra and Irene Fondón García},
title={Experimental Setup and Protocol for Creating an EEG-signal Database for Emotion Analysis Using Virtual Reality Scenarios},
booktitle={Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 1: GRAPP},
year={2023},
pages={75-86},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011656600003417},
isbn={978-989-758-634-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 1: GRAPP
TI - Experimental Setup and Protocol for Creating an EEG-signal Database for Emotion Analysis Using Virtual Reality Scenarios
SN - 978-989-758-634-7
AU - Valderrama E.
AU - Vega A.
AU - Durán-Díaz I.
AU - Becerra J.
AU - Fondón García I.
PY - 2023
SP - 75
EP - 86
DO - 10.5220/0011656600003417
PB - SciTePress