Heart rate variability analysis for the assessment of immersive emotional arousal using virtual reality: Comparing real and virtual scenarios

• Published in: PloS one Vol. 16; no. 7; p. e0254098
• Main Authors: Marín-Morales, Javier, Higuera-Trujillo, Juan Luis, Guixeres, Jaime, Llinares, Carmen, Alcañiz, Mariano, Valenza, Gaetano
• Format: Journal Article
• Language: English
• Published: San Francisco Public Library of Science 01.07.2021; Public Library of Science (PLoS)
• Subjects: Activity recognition; Affect (Psychology); Affective computing; Algorithms; Analysis; Arousal; Autonomic nervous system; Biology and Life Sciences; Cardiovascular system; Computer and Information Sciences; Computer applications; Emotion recognition; Emotions; Engineering and Technology; Evaluation; Heart beat; Heart rate; Helmet mounted displays; Measurement; Medicine and Health Sciences; Museums; Nervous system; Object recognition; Oscillations; Physical Sciences; Physiological responses; Physiology; Research and Analysis Methods; Self evaluation; Social interaction; Social Sciences; Statistical analysis; Support vector machines; Vagus nerve; Variability; Virtual environments; Virtual reality; Italy; Spain

Many affective computing studies have developed automatic emotion recognition models, mostly using emotional images, audio and videos. In recent years, virtual reality (VR) has been also used as a method to elicit emotions in laboratory environments. However, there is still a need to analyse the val...