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

被引：0

作者：

Marques Valderrama, Elias ^{[1
]}

Sarmiento Vega, Auxiliadora ^{[1
]}

Duran-Diaz, Ivan ^{[1
]}

Becerra, Juan A. ^{[1
]}

Fondon Garcia, Irene ^{[1
]}

机构：

[1] Univ Seville, Escuela Super Ingn, Dept Teoria Senal & Comunicac, Seville 41092, Spain

来源：

PROCEEDINGS OF THE 18TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS, VISIGRAPP 2023 | 2023年

关键词：

Emotion Induction; Emotion Recognition; Virtual Reality; Electroencephalogram; RECOGNITION; ENVIRONMENTS; SYSTEM; LINK;

D O I：

10.5220/0011656600003417

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：75 / 86

页数：12