CSI Dataset for Wireless Human Sensing on 80 MHz Wi-Fi Channels
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The dataset provides data for developing wireless sensing applications -- namely activity recognition, people identification and people counting -- leveraging Wi-Fi devices. The data is collected when the person/people move with the propagation environment. The human movements cause modifications to the multi-path propagation of Wi-Fi signals that reflect on the channel frequency response and, in turn, are identifiable by analyzing the channel readings.The dataset consists of Wi-Fi channel readings for up to seven activities and ten people. The dataset is collected via a monitor router implementing the Nexmon CSI tool that estimates the channel frequency response of ongoing Wi-Fi transmissions. The monitored traffic is generated by an IEEE 802.11ac-enabled Wi-Fi router that transmits data to a receiving device using an 80 MHz bandwidth channel. The data is collected in seven different environments, i.e., a bedroom, a living room, a kitchen, a university laboratory, a university office, a semi-anechoic chamber and a meeting room. Different respective positions and different hardware for the transmitter, receiver and monitor are considered to increase the domain diversity in the dataset. The dataset aims to provide a common ground truth for the development and comparison of wireless sensing solutions based on Wi-Fi. Overall, the dataset contains more than 13 hours of CSI recordings (for a total of 23.6 GB) among which 6 hours are for activity recognition, and 3 hours and a half are for people identification and people counting each.
本数据集为基于Wi-Fi设备的无线感知应用开发提供数据支撑，具体涵盖活动识别、人员身份识别与人员计数三类任务。数据采集于人员在传播环境中移动的场景下。人体移动会改变Wi-Fi信号的多径传播特性，进而体现在信道频率响应上，通过分析信道读取数据即可识别此类变化。本数据集包含最多对应7种活动、10名人员的Wi-Fi信道读取数据。本数据集通过搭载Nexmon CSI工具的监听路由器采集，该工具可估算正在进行的Wi-Fi传输的信道频率响应。被监听的流量由支持IEEE 802.11ac标准的Wi-Fi路由器生成，该路由器通过80MHz带宽信道向接收设备传输数据。数据采集于7种不同的实验环境，分别为卧室、客厅、厨房、大学实验室、大学办公室、半消声室与会议室。为提升数据集的领域多样性，实验中设置了不同的发射机、接收机与监听设备位置，且采用了不同的硬件配置。本数据集旨在为基于Wi-Fi的无线感知解决方案的开发与性能对比提供统一的基准真值（ground truth）。总体而言，本数据集包含超过13小时的信道状态信息（Channel State Information，简称CSI）录制数据，总容量达23.6GB；其中6小时用于活动识别任务，剩余各3.5小时分别用于人员身份识别与人员计数任务。
