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。