Automating Prediction of Fall in Elderly Population using Activity of Daily LIVING

Hagit Hel-Or, Ilan Shimshoni & Eichler Nadav


The Problem –There is a need for consistent estimation of chances of falling at the home environment.

The Solution- In this study, we propose to develop a system for fall estimation based on activity of daily living, by mapping the activity of daily living (ADL) to a standard scale of fall estimation.

Intellectual Property - The tool is based on a PCT novel multi depth-camera human motion tracking system integrated with Machine Learning algorithms. In addition