UFUK AVRUPA Projesi, UFUK AVRUPA Projesi, 2026 - 2026
StressLens project develops an AI-based system using EDA and eye-tracking data via XR headsets to monitor worker stress and deliver real-time safety alerts. It focuses on personalized stress detection, prevention of cognitive overload, and real-time feedback. It includes multimodal sensing, adaptive model training (e.g., CNN, SVM), and validation in XR-based industrial testbeds. Aiming for over 90% accuracy in stress prediction, it enhances safety and worker well-being. It provides strong EU added value by enabling safer, more efficient workplaces through scalable, ethical, and open-source AI. Aligned with ENFIELD goals, it advances human-centric, trustworthy, and adaptive AI via GDPR-compliant, individualized monitoring and dynamic alerts.