In today’s fast-paced IT industry, employees frequently experience stress due to prolonged computer usage, tight deadlines, and constant mental pressure. Often, individuals may not realize they are under stress until it negatively impacts their health, focus, or performance. Chronic stress can lead to serious consequences such as burnout, increased absenteeism, and reduced productivity. This project proposes a non-intrusive, real-time stress detection system using a widely available tool the computer’s built-in webcam. The system passively observes facial expressions and behaviours during regular work activities without requiring the user to wear any sensors or interrupt their workflow. Through image processing and artificial intelligence techniques, it analyses live webcam footage to detect subtle cues like a furrowed brow, clenched jaw, or eye fatigue, which are indicative of stress. Trained AI models assess these cues in real time and provide immediate feedback, such as suggesting short breaks or relaxation exercises, when elevated stress levels are detected. Unlike traditional methods involving surveys or medical equipment, this approach is contactless, effortless, and integrated seamlessly into the user’s routine. Its passive operation ensures minimal disruption while still offering meaningful support. By identifying stress at an early stage, the system enables timely intervention, helping individuals manage stress before it escalates. This real- time monitoring promotes workplace wellness by encouraging healthier habits and self- awareness. Over time, it can contribute to reduced burnout, fewer stress-related health issues, and improved employee performance. Ultimately, this AI-powered webcam-based system offers a smart, effective solution for supporting mental well-being in high-pressure IT environments without adding extra burden on users.
Sree et al. (Thu,) studied this question.