Author:
J. Abanah Shirley,Sundarsingh Esther Florence,V. Saraswathi,S. Sankareshwari,S. Sona
Abstract
Purpose
Fall detection is a primary necessity for elderly people with medically tested nervous problems. This paper aims important to detect fall and prevent fatal injuries and untreated attention for long hours.
Design/methodology/approach
The project is focused on developing a smart shoe with force-sensitive resistors placed at plantar pressure points to detect fall. This could draw immediate medical attention to the patient. The device is developed using sensors, microcontroller and accelerometer integrated into a compact module. A rule-based detection algorithm helps in transmitting the alert to an Internet of Things device when a fall is detected.
Findings
Based on the pressure applied, there is a change in resistive value of force sensitivity resistor. When it reaches the threshold value, fall gets detected and alert gets triggered through telegram bot with latitude and longitude details of the location.
Originality/value
The challenge in developing this device is to make it wearable reducing the overall hardware complexity. The entire module placed inside the sole of the shoe avoids inconvenience to the patients.
Subject
Electrical and Electronic Engineering,Industrial and Manufacturing Engineering
Cited by
4 articles.
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2. Federated Learning Based Elderly Fall Detection Using Edge Computing;2023 International Conference on Next Generation Electronics (NEleX);2023-12-14
3. A review study for elderly fall and vital signs monitoring systems;INTELLIGENT BIOTECHNOLOGIES OF NATURAL AND SYNTHETIC BIOLOGICALLY ACTIVE SUBSTANCES: XIV Narochanskie Readings;2023
4. A Flexible Insole Gait Monitoring Technique for the Internet of Health Things;IEEE Sensors Journal;2021-12-01