Real-time ADLs and Fall Detection implement TensorFlow

As we grow older, we become more and more vulnerable to costly falls. This becomes a huge issue when one suffers from a fall without anyone there to help or contact emergency services. The Fall Detection application for IOS solves this problem by providing a software that can monitor a person's daily activities and determine if a fall has occurred.

This system aims to offer a machine learning classifier built on a portable system which is able to detect the wearer’s falls

fall detection using machine learning

Earthquake and user fall detection alert system build with Android Studio and Firebase

This is a modification of the previous fall detector standalone system I built. It uses all the sensors embedded in the phone as input and output using the one shield. It senses a fall, notifies the user, toggles a button. then plays a sound, sends sms/email/GPS location to another user.

Server for real-time monitoring wheelchair status