With the acceleration of the pace of work and life, people are facing more and more
pressure, which increases the probability of suffering from depression. However, many …

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 …

Mental disorders are rapidly increasing each year and have become a major challenge
affecting the social and financial well-being of individuals. There is a need for phenotypic …

As a common mental disorder, depression has attracted many researchers from affective
computing field to estimate the depression severity. However, existing approaches based on …

Self-Rating Depression Scale (SDS) questionnaire has frequently been used for efficient
depression preliminary screening. However, the uncontrollable self-administered measure …

Distress is a complex condition, which affects a significant percentage of cancer patients and
may lead to depression, anxiety, sadness, suicide and other forms of psychological …

In this paper, we present our system design for audio visual multi-modal depression
recognition. To improve the estimation accuracy of the Beck Depression Inventory (BDI) …

Computerized artificial intelligent machines and devices are invading all human life details
rapidly. Verities of algorithms have been proposed to achieve results that can match or …

Objective The increasing rate of depression among university students is a cause of great
concern worldwide. With the recent growth in computer vision technology, eye movement …

Depression is the most prevalent mood disorder worldwide having a significant impact on
well-being and functionality, and important personal, family and societal effects. The early …