Working in collaboration with:

Phase 1: Fall mechanics study

In the lab setting, hundreds of controlled falls on different weighted mannequins were performed from sitting, standing and higher altitude positions. Using FallCapture to record accelerometer data on Apple Watch, the fall types were marked and thousands of data points were obtained regarding the different phases of a fall event. Following an extensive analysis, it was observed that lower falls from a sitting position produced different signatures compared to falls from a standing position. From this, the smart fall detection algorithm was born.