Survey on Sensor based Fall Assistance System for Elderly

Abstract

Falling is one of the main factors causing injuries to the elderly. However, there is a lack of comprehensive review surveys in this field. This paper systematically summarizes the relevant studies in recent years. First, considering the duration of fall prevention, this paper divides fall prevention into fall injury prevention and fall behavior prevention; then in order to comprehensively study fall detection and prediction, this paper divides relevant studies into environmental sensors and wearable sensors according to the different used sensors. According to current research, this paper also proposes a full-process architecture for fall assistance, which integrates multiple sensors and algorithms. Finally, the trends and challenges of fall-related research from four aspects are summarized.