Development of fall detection system for dementia patient using wearable sensor

Khasnor, Muhammad Fauzi (2020) Development of fall detection system for dementia patient using wearable sensor. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Most people like to live independently at home. Some of the activities in our daily lives are prone to accidents, such as falls. Falls can cause people to die in fatal conditions. This paper presents a prototype of a fall detection system does help solve the problem by developing the fall system, design a GPS tracker and analyse the angular acceleration. The previous study of this project is on what type of sensor that is used and the advantage and disadvantage for each article that was reviewed. The main component that is being used is Arduino Nano, MPU 6050 and GSM Module.While for the software, the apps being set up by using Thunkable and Firebase. Both software and hardware will be shown how it is set up. For the expected result, the software is displayed as same as the placement of the project.

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