Smart Band For Elderly Fall Detection Using Machine Learning

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C. Ranjeeth Kumar, M. Kaleel Rahman, E. Derrick Gilchrist, R. Lakshmi Pooja, C. Sruthi

Abstract

Fall is a common issue for senior citizens, as they are weak and need assistance. A fall could result in serious injury or perhaps death. So giving proper attention as soon as possible will reduce the impact of the fall. The main goal of this research is to perceive the appropriate machine learning algorithm for the scenario and illustrate the deployment of the fall detection system. So if the person is under fall, the system detects it immediately and intimate the concerned person by sending a message through SMS along with the person's current location as a google map link. So that they can arrive at that spot and help them before the situation gets out of hand. It is a wearable device that should be worn in order to detect a person's fall. The hardware and software are combined in the design and implementation to detect and report the elderly's collapse in a seamless manner.

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