Detection of Mental Stress through EEG Signal in Virtual Reality Environment

• Published in: Electronics (Basel) Vol. 10; no. 22; p. 2840
• Main Authors: Kamińska, Dorota, Smółka, Krzysztof, Zwoliński, Grzegorz
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.11.2021
• Subjects: Accuracy; Algorithms; Anxiety; Artificial neural networks; Classification; Computer simulation; Discriminant analysis; Electroencephalography; Emotions; Investigations; Machine learning; Multilayer perceptrons; Nervous system; Psychological stress; Psychotherapy; Signal classification; Signal monitoring; Stress; Support vector machines; Traffic congestion; Virtual reality

This paper investigates the use of an electroencephalogram (EEG) signal to classify a subject’s stress level while using virtual reality (VR). For this purpose, we designed an acquisition protocol based on alternating relaxing and stressful scenes in the form of a VR interactive simulation, accompan...