Innovative Approaches in Early Detection of Depression: Leveraging Facial Image Analysis and Real-Time Chabot Interventions
Year: 2024
Type: book-chapter
Abstract: This chapter study is about Depression and it's a prevalent and significant medical disorder that significantly affects emotions, thoughts, and behaviors. As such, early detection and care are necessary to limit its severe repercussions, which include suicide and self-harm. Determining who is suffering from mental health issues is a difficult task that has historically relied on techniques such as patient interviews and Depression, Anxiety, and Stress (DAS) scores. Acknowledging the shortcomings of these traditional methods, this study seeks to develop a model designed especially for the early detection of depression and to provide individualized recommendations for interventions. Instead of verbal self-evaluation, this approach interprets emotional indicators that are subtle but indicative of depression symptoms using facial image analysis.
Authors: Rasmita Kumari Mahanty, Amrita Budarapu, Nayan Rai, C. Bhagyashree
Language: English
Topic: Emotion and Mood Recognition
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4404788959