Depression and bipolar disorder are mood disorders affecting millions of people worldwide
that can have severe impacts on one's quality of life. Our ability to detect these illnesses is …

Epidemiological studies report high levels of anxiety and depression amongst adolescents.
These psychiatric conditions and complex interplays of biological, social and environmental …

While existing prediction models built on popular deep architectures have shown promising
results in facial depression recognition, they still lack sufficient discriminative power due to …

Computational methods are a promising approach for the study, assessment, and treatment
of mental illness. 1–4 Natural language processing, automatic speech recognition, and …

Dysfunctional depressogenic cognitions are considered a key factor in the etiology and
maintenance of depression. In cognitive behavioral therapy (CBT), the current gold-standard …

Gesture recognition is an ideal means of interaction because it allows users not to have to
make contact with any surface, which is a safe and hygienic means, especially in the …

Due to the problems of occlusion, pose change, illumination change, and image blur in the
wild facial expression dataset, it is a challenging computer vision problem to recognize facial …

Depression is the primary cause of illness and injury in the country, with over 280 million
people suffering from it as per the 2021 survey. Depression is one of the most common …

POST-traumatic stress disorder (PTSD) is a chronic and debilitating mental condition that is
developed in response to catastrophic life events, such as military combat, sexual assault …

Introduction Deep-learn methods based on convolutional neural networks (CNNs) have
demonstrated impressive performance in depression analysis. Nevertheless, some critical …