Remote Fall Detection System for the Elderly
Aadharsh Hariharan, S Sourab, Velury Suguna Varshini, Ishita Rajpal, Sara Mohan George · 2019
Human fall detection is a major challenge in the healthcare domain. It is estimated that over a third of the population aged 65 years and above, fall each year, making it the most prominent cause of non-fatal injury in their age group. This hinders their sense of independence and increases the need for constant monitoring of their activities. Progress of technology helps facilitate implementation of wearable remote monitoring systems to help detect a fall and implement necessary measures to ensure appropriate medical assistance is provided. This paper outlines the implementation of such a system which helps in the detection of a fall and the notification of the required caretaker via an SMS containing the location of the fallen person, so as to provide timely medical attention.