HealthTrack

Inspiration

1/6 people will have a stroke in their life - an enormous percentage. A diagnostic tool to help stroke patients monitor their condition.

What it does

Tracks the progress of post-stroke patients through a series of Fugl Meyer tests.

How we built it

Used Android Studio to build the frontend and the TensorFlow Lite Posenet library to track the video of an exercise.

Challenges we ran into

A lot of problems trying to integrate TensorFlow Lite into Android Studio.

Accomplishments that we're proud of

Managed to build a clean app and develop a simple algorithm to take the Posenet data and convert it to something the patient could understand. ## What we learned We learned about stroke recovery.

What's next for HealthTrack

Implement more tests and use posenet.