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

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 …

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 …

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 …

Abstract Objectives The International Society for Bipolar Disorders Big Data Task Force
assembled leading researchers in the field of bipolar disorder (BD), machine learning, and …

This study proposes a long-short term memory (LSTM)-based approach to text emotion
recognition based on semantic word vector and emotional word vector of the input text. For …

Emotional state analysis of facial expression is an important research content of emotion
recognition. At the same time, in the medical field, the auxiliary early screening tools for …

This paper intends to decode depressive disorder using computer vision. Facial expressions
rendered by a depressive and non-depressive person were studied against a given …

Inability to efficiently deal with emotionally laden situations, often leads to poor interpersonal
interactions. This adversely affects the individual's psychological functioning. A higher trait …