A CSI Dataset for Wi-Fi-based Personnel Identity Recognition

This dataset utilizes Asus RT-AC86U routers and nexmon tools to collect Channel State Information (CSI) data in a 7 by 5 meters meeting room furnished with typical furniture including a conference table, several chairs, and a locker. The data, stored in .pcap format, is accompanied by processing code on GitHub, enabling parsing into CSI matrix data stored in .npy format. Each CSI matrix contains amplitude and processed phase values for four channels, encompassing data from both external and internal antennas within the room. These matrices facilitate in-depth analysis of dynamic changes in the wireless channel induced by human movement, serving as a resource for research in human activity recognition and related fields.本数据集采用华硕RT-AC86U路由器和nexmon工具，在配备典型家具的7×5米会议室中采集信道状态信息（CSI）数据，该家具包括会议桌、数把椅子和储物柜。数据以.pcap格式存储，并附有GitHub上的处理代码，可实现解析为存储在.npy格式的CSI矩阵数据。每个CSI矩阵包含四个通道的幅度和经过处理的相位值，涵盖房间内外部天线的数据。这些矩阵有助于深入分析由人类活动引起的无线信道动态变化，为人类活动识别及相关领域的研究提供资源。

搜集汇总

背景与挑战

背景概述

该数据集是一个用于Wi-Fi人员身份识别的CSI数据集，通过Asus路由器和nexmon工具在会议室环境中收集无线信道状态信息，数据以.pcap格式存储并附带处理代码，支持转换为.npy格式的CSI矩阵，包含幅度和相位值，适用于人类活动识别等研究。数据集特点包括多通道天线数据采集和动态信道变化分析，旨在为无线感知领域提供资源。