Intelligent elderly care

• Main Author: Shiew, Wei Lun
• Other Authors: Lee Peng Hin
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2020
• Subjects: Engineering::Electrical and electronic engineering
• Online Access: https://hdl.handle.net/10356/140685
• Institution: Nanyang Technological University

This report shows how Modular Tracker device uses the Internet of Things (IoT) , tracking and monitoring system Technologies to determine the location and safety of the dementia patient elderly. The two major parts of the device are GPS Tracker and Fall Detector which are both made to use on the single board computer Raspberry pi. The implementation and testing of the two major parts are divided into five stages. The implementation section for the five stages include the methods used and approaches to develop the modules for the two major parts. The testing section for the 5 major stages will include the testing methods used for each stage and the approached to solve an individual stage issue. This device will constantly send updates of location and safety status of the patients up onto the IoT dashboard for family member constant monitor