通信与信息技术Issue(3)：12-17,6.
基于Wi-Fi信号探测的人群拥挤检测
Crowd identification based on Wi-Fi signal detection
摘要
Abstract
Crowd identification is vital for urban public safety.By leveraging existing Wi-Fi signals in public places and employing ESP32 chip to collect CSI data,a crowd identification model is established using Long Short-Term Memory(LSTM)networks.Results demonstrate that using the mean and variance of CSI data as input features for the LSTM network yields superior performance;accuracy,precision,recall and F1 score all exceed 70%;Kalman filtering further enhances model performance by approximately 10%;while longer input sequences improve model accuracy.Compared to existing video-based crowd identification technologies,this method offers lower implementation costs and broader coverage.关键词
Wi-Fi/拥挤/检测/CSIKey words
Wi-Fi/Crowd/Identification/CSI分类
信息技术与安全科学引用本文复制引用
陶琪,彭萧洋,王星亿,林圆圆,李春季,罗锐..基于Wi-Fi信号探测的人群拥挤检测[J].通信与信息技术,2026,(3):12-17,6.基金项目
室内空间布局优化与安全保障四川省高校重点实验室(项目编号:2023SNKJ-02)多维数据感知与智能信息处理达州市重点实验室(项目编号:DWSJ2411)成都师范学院(项目编号:2024XJSXJS1 （项目编号:2023SNKJ-02）
2024XJCXXSY9 （）
CSTJZX2569 （）
2025xjcxsy02 （）
S202514389127)基金和2025年教育部产学合作项目资助 （）
