Background Bias-prone psychiatric interviews remain the mainstay of bipolar disorder (BD)
assessment. The development of digital phenotyping promises to improve BD management …

Depression, a prevalent and complex mental health issue affecting millions worldwide,
presents significant challenges for detection and monitoring. While facial expressions have …

This paper explores the current machine learning based methods used to identify Attention
Deficit Hyperactivity Disorder (ADHD) and depression in humans. Prevalence of mental …

Human ideas and sentiments are mirrored in facial expressions. Facial expression
recognition (FER) is a crucial type of visual data that can be utilized to deduce a person's …

Bipolar disorder is a prevalent mental illness characterized by a high relapse rate. In this
study, we propose an early warning system that utilizes digital phenotyping to collect various …

The symptoms of bipolar disorder include extreme mood swings. It is the most common
mental health disorder and is often overlooked in all age groups. Bipolar disorder is often …

Speech emotion recognition has been an important field in the research of human-computer
interaction. Understanding the user's emotions from speech help the system to grasp the …

Access to mental health resources remains a significant challenge worldwide, with over 450
million people affected by mental illness. The gap between those needing support and …

Mood disorders are a mental disease that affects seriously the feelings and the thinking
manner of people. They consist of severely emotional state fluctuations which is different …