关键词: 可穿戴设备, 跌到检测, 数据采集, 特征提取, 机器学习

Abstract: The fall detection system based on the wearable device can detect the fall behavior of the person and is widely used in the scene of the elderly monitoring, and the design of the related system has also attracted the attention of many researchers. This paper gives a detailed review of the research on the fall detection system based on wearable devices. It introduces the process of falling. According to the workflow of the wearable device fall detection system, it introduces the current research work from data acquisition, data preprocessing, feature extraction and discriminant algorithms. Aiming to provide meaningful reference and reference for subsequent research work, it also classifies, compares and statistically analyzes existing research results.

Key words: wearable device, fall detection, data acquisition, feature extraction, machine learning