RECOGNITION OF MENTAL DISORDERS FROM PHYSIOLOGICAL SIGNALS ANALYSIS
The rapid advances in machine learning (ML) and information fusion have made it possible to use machines/computers with the ability of understanding, recognition, and analysis of human emotion, mood and stress, and related mental diseases. The recognition methods based on physiological modalities are the most performant. Wearable technologies enable non-invasive long-term data gathering and analysis. The number of mental health issues are correlated with emotional states and can be possibly detected by similar methods to general emotion recognition.