摘要
随着物联网产业的飞速发展,一大批以人为中心的智能化服务不断涌现,检测到人员的存在是提供这些服务的前提。本文提出了一种基于WiFi感知的人员检测技术,基于信道状态信息(CSI)幅度的动态方差感知周围环境的变化,生成特征指纹,并结合KNN分类算法,对比判断当前场景内是否有人员存在。
With the rapid development of the Internet of Things industry,a large number of human-centered intelligent services continue to emerge.Detecting the presence of personnel is a prerequisite for providing these services.This paper proposes a person detection technology based on WiFi perception,which perceives changes in the surrounding environment based on the dynamic variance of the channel state information(CSI)amplitude,generates characteristic fingerprints,and combines the KNN classification algorithm to compare and judge whether there are people in the current scene.
作者
史文华
SHI Wen-hua(School of Electronic and Information Engineering,Suzhou University of Science and Technology,Suzhou 215000,China)
出处
《电脑知识与技术》
2021年第17期187-189,共3页
Computer Knowledge and Technology
