Autonomous Robot for detecting and following Humans in Hospital powered by Deep Learning

Abstract

In such a fast-pacing and highly competitive society, the seniors are increasingly let unsupervised and not taken care of. This is especially true in developing and mass population countries, where either healthcare or money is simply not sufficient to support them. One of the most serious incidents that the elderly encounter is fall. Various injuries caused by fall significantly downplay the function of a elder’s body, shorten their ages, and if they cannot recover or there is no timely aid from others, they may have to lie on the spot for a long time, leading to dehydration, hypothermia and even death. According to WHO, 28% to 35% of seniors are prone to fall annually, the rate rises up to 32% to 42% if they are over 70-year-old [67] . Hence, we aim to provide an affordable and versatile solution for fall detection in medical wards or elderly care facilities