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无线保真信道状态信息（WiFi Channel State Information, CSI）数据集，针对人员计数（People Counting, PC）、人类活动识别（Human Activity Recognition, HAR）、机器识别（Machine Recognition, MR）以及机器活动识别（Machine Activity Recognition, MAR）等多类无线感知应用场景，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，研究团队在8种不同环境中开展了为期23天的数据采集，其中包含一个可支持21名人员与9台机器同时开展活动的工业场景。本数据集还附带Summary.xlsx与Summary.mat文件，可用于查询各数据集文件的详细信息。