Research Progress of Monitoring System Based on Wearable Fall Detection Equipment for The Elderly

Abstract

Falling will cause significant health risks to the elderly. Wearable fall detection system will effectively reduce the risk of fall-related complications, and improve the quality of life and well-being of the elderly. The behavior analysis of falls and the research progress of fall detection through the architecture of wearable fall detection equipment for the elderly are introduced. Furthermore, the procedures of the fall detection system for the elderly such as sensor data acquisition and preprocess, feature extraction and analysis, classification algorithm, performance evaluation and the classification technology are also introduced. In addition, the current research work from several aspects, such as classification technology, comparison and statistical analyzation, and summary and prospect are introduced for some meaningful references.