falldetector

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

SeniorHealthNode is designed for older adults, people with limited mobility, and anyone who lives or works alone. It offers an extra layer of connection for those who may need help when a phone is out of reach or difficult to use. Monitors movement and sends alerts to others when it detects a possible fall or the wearer requests help.