Novel and Robust Vision- and System-on-chip-based Sensor for Fall Detection

Abstract

In this paper, we propose a novel and robust vision-and system-on-chip (SoC)-based system as a sensor to effectively detect falls of the elderly. The proposed method consists of five steps: initial light stability confirmation, gradient-difference-based foreground detection, dilationand multiframe-based foreground construction, false fall detection problem solving, and fall detection determination with a general-purpose input/output-based fall warning transmission. Real test videos have shown that our comprehensive experiments justify the low power, low hardware cost, and high detection accuracy merits of the proposed method when compared with related fall detection methods.