Dataset for Human Activity Recognition using Wi-Fi Channel State Information (CSI) data

The dataset is organised as follows:- There are 3 folders (room_1/2/3), which indicate data collected from 3 different rooms- In each of that rooms there is a different number of folders indicating different data capturing session- In each of that folder, there is data.csv files, which stores CSI data for each packet. Also, there are label.csv and label_boxes.csv which contain labels for activities and person bounding box respectively. Dataset characteristic:Activities - walking, sitting, standing, lying, getting up, getting down, no activity# of people involved - 1# of rooms used - 3WiFi router - TP-Link TL-WDR4300Channel - 60Bandwidth - 40MHzFrequency - 5 GHzAntennas - 2Rx x 2Tx# of subcarriers - 114 Check out http://github.com/retsediv/WIFI_CSI_based_HAR in case if you need the source code of data collection process, processing, analysis or model development Disclaimer: All data were collected by myself and the only person performing activities was me. My purpose was to make the data easier available to the community for further research in time on COVID-19.本数据集的组织形式如下： - 共包含3个命名为room_1/2/3的文件夹，分别对应3个不同房间采集的数据 - 每个房间文件夹下设有数量不等的子文件夹，代表不同的数据采集会话 - 每个会话子文件夹内均包含：存储每数据包信道状态信息（Channel State Information, CSI）的data.csv文件，以及分别记录活动标签与人体边界框的label.csv和label_boxes.csv文件 数据集特征： - 活动类型：行走、就坐、站立、躺卧、起身、下蹲、无活动 - 参与人数：1人 - 采集房间数：3间 - WiFi路由器型号：TP-Link TL-WDR4300 - 工作信道：60 - 信道带宽：40MHz - 工作频率：5 GHz - 天线配置：2接收天线（Rx）×2发射天线（Tx） - 子载波数量：114个 如需获取数据采集、处理、分析或模型开发的相关源代码，请访问：http://github.com/retsediv/WIFI_CSI_based_HAR 免责声明：所有数据均由本人采集，且唯一执行各类活动的人员亦为本人。本人公开该数据集的初衷，是便于社区后续开展新冠疫情相关的研究工作。