This repo demonstrates a fall detection model based on data gathered from the movement sensors (accelerometer, gravity and gyroscope) of a smartphone.
The project uses the K-Means algorithm to cluster patterns in the signal from the sensors.
A fall detector using unsupervised machine learning methods
Python