Machine learning-based detection of workplace stress using wearable and multimodal data: a systematic literature review

Workplace stress is a significant concern, as it negatively impacts employee wellbeing and organizational productivity and is a major contributor to burnout and job turnover. Detecting stress in real-world work environments remains challenging; however, recent advances in machine learning and deep learning techniques offer promising solutions. Furthermore, the growing availability of multimodal data and wearable sensor technologies may facilitate individual stress tracking. In this paper, a syst