Uso de realidade virtual e do eletroencefalograma na classificação de emoções

Abstract

In the context of the growing global interest in the integration of immersive and neurophysiological technologies, the literature has extensively investigated the use of Virtual Reality (VR) and Electroencephalography (EEG) as an innovative approach to monitoring emotional states. In this context, a systematic literature review was initially conducted following the PRISMA guidelines to identify recent evidence regarding the integrated application of these technologies. Subsequently, this study analyzed electroencephalographic signals and investigated the relationship between neural patterns and users' emotional states during exposure to different VR scenarios. In the experimental stage, EEG signals were collected from participants during immersion in virtual environments with varying levels of sensory stimulation. The collected data were subjected to preprocessing, followed by the extraction of relevant features, including information derived from frequency bands associated with emotional responses. Data interpretation was performed through the analysis of neurophysiological patterns observed under the different experimental conditions, enabling the identification of variations related to states such as relaxation, arousal, and stress. Unlike approaches based on real-time dynamic adaptation, the present study adopts an offline processing model, in which the data are analyzed after acquisition, providing greater methodological control and enabling a more detailed analysis of emotional responses in immersive environments. The results contribute to a better understanding of the relationship between EEG signals and Virtual Reality experiences, providing a foundation for future applications focused on emotional monitoring and the development of systems based on the integration of VR and EEG.