家电科技2023，Vol.6Issue(6)：38-41,4.DOI:10.19784/j.cnki.issn1672-0172.2023.06.005
基于CSI特征信息的人体运动检测方法
Human motion detection method based on CSI feature information
付雄 1李云涛 1尚靖 1陈峰峰1
作者信息
- 1. 四川虹美智能科技有限公司 四川绵阳 621011
- 折叠
摘要
Abstract
In response to the increasing demand for intelligent human-computer interaction and the problem of poor convenience and high cost of human detection methods based on sensing devices of home appliance,a human detection technology based on Wi-Fi channel state information is proposed,which fully utilizes home appliance Wi-Fi modules to achieve contactless detection.This method utilizes subcarrier amplitude information to filter outliers and extract static environment related features in the offline stage of the algorithm.It trains a fingerprint library for parameter storage,and extracts real-time signal amplitude in the online stage.The results are compared with the training stage threshold to output results with or without people.This method extracts multiple types of feature information in the time domain and subcarrier domain,and can achieve differential detection of human motion,unmanned and human micro motion.It has achieved accuracy in real-world experiments and has certain value for the application of intelligent detection in household appliances.关键词
信道状态信息/子载波/人体检测/Wi-FiKey words
Channel state information/Subcarrier/Human detection/Wi-Fi分类
信息技术与安全科学引用本文复制引用
付雄,李云涛,尚靖,陈峰峰..基于CSI特征信息的人体运动检测方法[J].家电科技,2023,6(6):38-41,4.
