Recently, depression research has received considerable attention and there is an urgent
need for objective and validated methods to detect depression. Depression detection based …

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 …

Depression is a typical mood disorder, and the persons who are often in this state face the
risk in mental and even physical problems. In recent years, there has therefore been …

This study develops a framework for the detection and analysis of stress/anxiety emotional
states through video-recorded facial cues. A thorough experimental protocol was …

The psychological health of a person plays an important role in their daily life activities. The
paper addresses depression issues with the machine learning model using facial …

There is a growing interest in computational approaches permitting accurate detection of
nonverbal signs of depression and related symptoms (ie, anxiety and distress) that may …

Physiological studies have shown that facial changes can be seen as a biomarker to
analyze the severity of depression. Therefore, this study proposes a Depressioner model to …

Depression is a complex mental disease, which involves many factors such as psychology,
physiology, and society, and which causes harm to society. Up to now, there are no valuable …

Recent evidence have demonstrated that facial expressions could be a valid and important
aspect for depression recognition. Although various works have been achieved in automatic …

Depression is a serious mental disorder, significantly burdens individuals, families, and
society. For clinical psychiatrists, assessing the severity of depression is a crucial tool in …