IMPORTANT: Cypress Developer Community is transitioning on October 20th. To learn more and be prepared for this change, check out our latest announcement.
Showing results for 
Search instead for 
Did you mean: 

Resource Library

Elderly Fall Detection


Elderly Fall Detection

This project was submitted by R.M. Dreifuerst in Make With Mesh: The Cypress & Digi-Key Bluetooth 5 IoT Design Contest Sponsored by Embedded Computing Design and was one of the winners!




Project Technology Focuses

  • CYW20819 Dual-Mode Bluetooth 5 MCU
  • Machine Learning


Project Requirements


  • CYW20819 Arduino Eval Kit (CYW920819EVB-02)
  • Additional button for forced fall detection



Project Description

This project leverages the CYW20819 Arduino Eval Kit to implement a machine learning powered automatic fall detection IoT device. Providing a fast and early response to medical emergencies is one of the most effective methods of ensuring recovery from hazardous situations - and so adding some automation to this process certainly brings to light some of the benefits in the medical world the IoT can bring. The project first created a data pipeline with the desired "fall" output using the on-board accelerometer on the CYW20819. The data was then fed into multiple machine learning models - eventually with a tested model being migrated to run on the CYW20819 processor to do automatic fall detection. In the end version of this project, if a fall is detected an emergency call on the user's smartphone would be initiated via Bluetooth.



Project Links


Resource List

Version history
Revision #:
3 of 3
Last update:
‎Apr 05, 2021 03:34 PM
Updated by: