The Stress Visualization Monitor is a system that monitors mental health by visualizing the galvanic stress response of the user. The user wears a sensor connected to an Arduino. The user can monitor their stress levels in real time through our web interface. The goal of the project is to increase the self-awareness of mental health by the user.
This project is a proof of concept. It was created in 24 hours by myself and my teammates at the Duke Hackathon ’14. The idea is for the user to wear the device to collect personal stress response data. This data could then be analyzed daily, weekly, monthly, etc. This is a possible addition in the wearable technology sect.
The app was developed using Python with Django, as well as the usual front-end web technologies.
See the source code: https://github.com/adamgillfillan/mental_health_app