计算机工程与应用2019，Vol.55Issue(18)：8-14,7.DOI:10.3778/j.issn.1002-8331.1905-0269
基于可穿戴设备的跌倒检测方法综述
Review of Fall Detection Method Based on Wearable Devices
朱连杰 1陈正宇 2田晨林3
作者信息
- 1. 南京邮电大学 电子与光学工程学院,南京 210023
- 2. 南京邮电大学 电子与光学工程学院,南京 210023
- 3. 金陵科技学院 电子信息工程学院,南京 211169
- 折叠
摘要
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 ana-lyzes existing research results.关键词
可穿戴设备/跌到检测/数据采集/特征提取/机器学习Key words
wearable device/fall detection/data acquisition/feature extraction/machine learning分类
信息技术与安全科学引用本文复制引用
朱连杰,陈正宇,田晨林..基于可穿戴设备的跌倒检测方法综述[J].计算机工程与应用,2019,55(18):8-14,7.
