Affective computing for mental health monitoring uses technology to track and analyze emotional states, providing insights into mental health conditions like depression and anxiety. By continuously monitoring physiological and behavioral signals, these systems can detect early signs of mental health issues and provide timely interventions. This approach can enhance traditional mental health care by offering real-time support and personalized treatment plans.