PULSE - Personalized Understanding, Learning and working Stress Evaluation

Author : Athanasios Anastasiou, George Dimitrakopoulos

Abstract :This study proposes the development of a comprehensive and non-intrusive system for the detection, monitoring, and management of stress in individuals operating in high-strain environments that demand both mental and physical exertion. The core of the intervention lies in the design of advanced algorithms and machine learning models capable of identifying work-related stress by analyzing data from multiple sources. In parallel, the initiative includes the development of digital educational programs aimed at enhancing stress awareness and management skills, delivered through interactive e-learning platforms. A specially designed mobile application will serve as the primary user interface, enabling real-time feedback and engagement with system components. The app will incorporate gamification elements and personalized interventions to encourage user participation and promote long-term stress management practices

Keywords :A Comprehensive Non-Intrusive System for Real-Time Detection and Management of Work-Related Stress

Conference Name :International Conference on Engineering (ICOE-25)

Conference Place Marrakesh, Morocco

Conference Date 3rd Oct 2025