Richard Lin¹ and Yu Sun², ¹Phillips Academy Andover, USA, ²California State Polytechnic University, USA

In recent years, the world has been undergoing a drastic change in its age demographic due to an off balance caused by decreasing birth rates and an increase in the elderly population [1]. While 8.5% of the global population were elders in 2015, studies show that this number will hit 17% by 2050. This project will focus on the efficiency of automatic fall detection and contribute to the evolution of fall protection [2], both within elders and the general population. Through our conducted work, we have developed a wearable device capable of efficient fall detection and transmission.

Machine Learning, Fall detection, Mobile APP.