Stroke Alert is a quantifiable diagnostic tool that aims to provide simple and fast diagnosis tests for users with risk of potential stroke.
Stroke Alert uses PoseNet, a machine learning model which allows for real-time human pose estimation in the browser and it allows users to conduct the F.A.S.T stroke test on their own with a mobile phone or webcam.
Stroke Alert is coded and created by Fonnis on P5.js editor with the help of PoseNet algorithm.
Watch the demo video to find out more.
Stroke Alert arm test uses pose estimation - PoseNet to allow users to do a test in order to check if they can raise both their arms or if any arm droops.
Stroke Alert smile test uses Facial Recognition to check for one-sided facial weakness by asking users to smile and using Face Api to check if one side of their face sags.
