A novel wearable consumer electronics device for detecting Major Depressive Disorder (MDD) has been developed using deep learning techniques for smart healthcare. Accurate identification of MDD ...

Artificial intelligence methods offer objectivity and convenience in automatic depression detection, however, current research often neglects the critical role of facial landmarks. This oversight ...

These days, depression is a common illness worldwide which varies from usual mood fluctuations to challenges in everyday life. When depressive symptoms stay for long in the form of moderate or high ...

Automatic Depression Detection (ADD) garners widespread attention due to its convenience and objectivity. While existing research makes significant progress, challenges remain. First, most current ADD ...

One of the primary causes of death globally, heart disease still affects millions of people; thus, early identification is very essential for efficient treatment. To meet the need for precise, ...

Moreover, we impose an attention mechanism on various embeddings to obtain a multimodal compact representation for the subsequent MDD detection task. We conduct extensive experiments on two public ...

Photoplethysmography (PPG)-based arrhythmia detection methods have gained attention with wearable technology, enabling early detection of undiagnosed arrhythmias. Existing methods excel in single ...

According to a study published in the Journal of Medical Internet Research, individuals with depression are more likely to use language indicative of sadness, loneliness, and negative emotions on ...

Student mental health has emerged as a major global concern, with depression being a common problem that has a considerable influence on academic performance and personal well-being. This paper ...

Depression is a mental disorder that causes feelings of unhappiness and loss of interest. Depression is afflicting a significant portion of the world's kids and adults at the present time. Falls in ...

This study aims to detect depression by integrating machine learning with facial analysis. It features two main components: a ten-question multiple-choice questionnaire (MCQ) to assess depression ...

Analysis of facial expressions for emotion detection is relevant to many areas of interest in computer science and engineering among them being, human-computer interaction (HCI), security, and health.