The AUBADE telemedicine platform achieved an 86.0% classification accuracy in recognizing five predefined emotional classes (high stress, low stress, disappointment, euphoria, and neutral face).
Observational (n=4)
The AUBADE system demonstrates the feasibility of using wearable biosensors and SVM classification to accurately assess emotional states in real-time under simulated extreme stress conditions.
AUBADE is an integrated platform built for the affective assessment of individuals. The system performs evaluation of the emotional state by classifying vectors of features extracted from: facial Electromyogram, Respiration, Electrodermal Activity and Electrocardiogram. The AUBADE system consists of: (a) a multisensorial wearable, (b) a data acquisition and wireless communication module, (c) a feature extraction module, (d) a 3D facial animation module which is used for the projection of the obtained data through a generic 3D face model; whereas the end-user will be able to view the facial expression of the subject in real time, (e) an intelligent emotion recognition module, and (f) the AUBADE databases where the acquired signals along with the subject's animation videos are saved. The system is designed to be applied to human subjects operating under extreme stress conditions, in particular car racing drivers, and also to patients suffering from neurological and psychological disorders. AUBADE's classification accuracy into five predefined emotional classes (high stress, low stress, disappointment, euphoria and neutral face) is 86.0%. The pilot system applications and components are being tested and evaluated on Maserati's car racing drivers.
Katsis et al. (Tue,) conducted a observational in Affective physiological states (emotions) (n=4). AUBADE telemedicine platform vs. Expert psychologist annotation was evaluated on Classification accuracy into five predefined emotional classes. The AUBADE telemedicine platform achieved an 86.0% classification accuracy in recognizing five predefined emotional classes (high stress, low stress, disappointment, euphoria, and neutral face).