EHUNAM, a WiFi CSI-based dataset for human and machine sensing

This is a comprehensive WiFi Channel State Information (CSI) dataset collected using different device configurations for multiple WiFi sensing applications such as People Counting (PC), Human Activity Recognition (HAR), Machine Recognition (MR), and Machine Activity Recognition (MAR). To ensure high accuracy in new locations, data was collected over 23 days in eight different environments, including an industrial scenario with 21 people and nine machines that can also perform activities simultaneously. The dataset also includes the Summary.xlsx and Summary.mat files, which provide details about each of the dataset files.本数据集为一套完备的WiFi信道状态信息（WiFi Channel State Information，CSI）数据集，针对人员计数（People Counting，PC）、人体活动识别（Human Activity Recognition，HAR）、机器识别（Machine Recognition，MR）以及机器活动识别（Machine Activity Recognition，MAR）等多种WiFi感知应用，采用不同设备配置采集所得。为保障新部署场景下的感知精度，本数据集于8种不同环境中历时23天完成采集，其中包含一处可容纳21名人员与9台可同步执行作业的机器的工业场景。本数据集同时附带Summary.xlsx与Summary.mat文件，可用于查询各数据集文件的详细说明信息。