Objective There are many barriers to accessing mental health assessments including cost
and stigma. Even when individuals receive professional care, assessments are intermittent …

Automatic depression assessment based on visual cues is a rapidly growing research
domain. The present exhaustive review of existing approaches as reported in over sixty …

Medical professionals diagnose depression by interpreting the responses of individuals to a
variety of questions, probing lifestyle changes and ongoing thoughts. Like professionals, an …

Abstract Clinical depression or Major Depressive Disorder (MDD) is a common and serious
medical illness. In this paper, a deep Recurrent Neural Network-based framework is …

To help clinicians to efficiently diagnose the severity of a person's depression, the affective
computing community and the artificial intelligence field have shown a growing interest in …

At present, there have been many studies on the methods of using the deep learning
regression model to assess depression level based on behavioral signals (facial …

Depression is a global mental health problem, the worst case of which can lead to suicide.
An automatic depression detection system provides great help in facilitating depression self …

Depression has become one of the most common mental illnesses in the world. For better
prediction and diagnosis, methods of automatic depression recognition based on speech …

Depression has been the leading cause of mental-health illness worldwide. Major
depressive disorder (MDD), is a common mental health disorder that affects both …

Depression is a common mental illness that affects the physical and mental health of
hundreds of millions of people around the world. Therefore, designing an efficient and …