An Investigation of Various Machine and Deep Learning Techniques Applied in Automatic Fear Level Detection and Acrophobia Virtual Therapy

• Published in: Sensors (Basel, Switzerland) Vol. 20; no. 2; p. 496
• Main Authors: Bălan, Oana, Moise, Gabriela, Moldoveanu, Alin, Leordeanu, Marius, Moldoveanu, Florica
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 15.01.2020; MDPI
• Subjects: affective computing; Anxiety disorders; Cognition & reasoning; Deep learning; Discriminant analysis; emotional assessment; Emotions; Experiments; Fear & phobias; fear classification; feature selection; Machine learning; Medical research; Patients; Physiology; Software; Support vector machines; Virtual reality; fear classification; affective computing; feature selection; emotional assessment

In this paper, we investigate various machine learning classifiers used in our Virtual Reality (VR) system for treating acrophobia. The system automatically estimates fear level based on multimodal sensory data and a self-reported emotion assessment. There are two modalities of expressing fear ratin...