Stress arises in many settings in our daily lives. Too much stress, over a prolonged period of time, poses physical and mental health problems. Thus the monitoring and detection of stress is crucial to ensure physiological, physical and emotional wellbeing. Many of us wear smartwatches that track our heart rate, activity and sleep, however no low-cost commercially-available watch measures stress. This project aims to build such a wearable device, using physiologically-related sensors, an ESP32 microcontroller, signal processing, machine learning algorithms. The device could then be used for health management, work and business productivity, and burnout and depression prevention.

The project encompasses all the Electrical and Computer Systems Engineering degree aspects, including electronic sensors, real-time hardware and software development, design and data analysis (collection, signal processing and machine learning).