PhobiaTest, our innovative web application, challenges users with images designed to evoke specific phobias while measuring their changing heart rates. This data enables us to make informed phobia assessments, ranking and displaying the top fears at the end of the test.
Inspired by the potential of empirical data in diagnosing and treating phobias, we developed PhobiaTest using JavaScript for both front and back end, with Python and C++ scripts collecting data from the BioAmp EXG Pill.
Although we faced challenges connecting the web server to the Python script, we achieved an interactive app capable of yielding intriguing results. This project honed our skills in web development, hardware-software integration, data processing, and effective collaboration using Git.
Looking ahead, our vision for PhobiaTest involves expanding the phobia testing list, enhancing user interaction with feedback mechanisms, and exploring integration of Galvanic skin readings for deeper physiological insights.
The application could be made into a platform for general stimulus response testing. By taking advantage of the Serial API in Chrome browsers, this application could be entirely delivered without the need for a dedicated backend. A final streamlined application would only require the user to wear a connected ECG device and visiting a website.
Log in or sign up for Devpost to join the conversation.