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Non-Intrusive Fall Detection for Elderly

This is an IoT-based final year project which detects a fall of the elderly in a non-intrusive way. The system does not impose any inconvenience on the elderly or cause privacy issues. The fundamental hardware used in this project is Raspberry Pi, PIR motion sensors, and ultrasonic sensors.

Name: They Pei Joo

Matrics No: 132995

Email: peijoo0402@student.usm.my

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Supervisor: Associate Professor Dr. Cheah Yu-N

Email: kyncheah@usm.my