Machine learning based wearable sensor module for human fall detection - a fully functional solution
Juluru Anudeep, Shriram K. Vasudevan, T. S. Murugesh · International Journal of Medical Engineering and Informatics · 2024
This paper addresses a potential concern faced by the majority of aged ones left unaccompanied at home. Any untoward fall owing to poor health conditions or slippery floors that are more prevalent among the elders happens; it usually goes unnoticed, and the aged ones are deprived of the potentially life-saving 'golden hour' treatment. To mitigate such problems faced by the elderly, we have designed a wrist-wearable fall detection system that employs a machine learning model for movement tracking and to detect a fall just in case. During a fall, an automated call is generated to the emergency services as well as to a caretaker through a GSM module. Two datasets are collected, trained, and tested on seven different machine learning models, and the results are presented.