An IoT fall detection and alert system for elderly persons with stroke and heart attack
Date
2020
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Abstract
Abrupt falling of the aged population is a rising concern among other chronic sicknesses faced by older people in the world. Elderly patients are disposed to falling abruptly due to heart-related diseases, muscle weakness, high blood pressure, and balance-related diseases such as labyrinthitis – inflammation of the delicate balance regulating parts of the ear. This project focuses on the design and development of simple, low-cost fall detection, and smart alert system. The system detects the fall of a patient using the device's gyroscopes and accelerometers to send an alert message via mail to the caretaker for immediate intervention. The device also possesses a panic push button that can be used by the patient to call for urgent help. The device's buzzer is used to make an alert sound for caretakers who are around the patient's vicinity to respond urgently. Data collected from the device are stored in a database and further aggregated to give the patient's fall history in a web application. The web application displays the patient's fall history by showing the patient’s name, age, state, time of fall, and their condition.
Description
Capstone Project submitted to the Department of Engineering, Ashesi University in partial fulfillment of the requirements for the award of Bachelor of Science degree in Electrical and Electronic Engineering, May 2020
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Capstone project
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Keywords
elderly, wearable device, sensors