D-Sense: Generalizing Datasets for Cross-Domain Wireless Sensing

Generalized cross-domain sensing is a crucial step in driving the Internet of Everything. This dataset provides CSI information of Wi-Fi for different recognition tasks (gesture vs. gait) as well as DFS and (Absolute Distance Profile) ADP for researchers to validate the ADP. The ADP was tested on both the CNN-RNN networks that we utilized with parameter settings comparable to Widar 3.0, trained for 100 cycles. Then, we attach the confusion matrix for different tasks, which has been shown in the folder of the same level as the dataset, and you can refer to it for your reference. At the same time, we have attached a visualization example of ADP, which you can open and observe using MATLAB; the procedure is described in detail in the instructions.

广义跨域感知是驱动万物互联的关键步骤。本数据集提供了针对不同识别任务（手势与步态）的 Wi-Fi CSI 信息，以及用于研究人员验证绝对距离轮廓（ADP）的 DFS 和 ADP 数据。我们对所使用的 CNN-RNN 网络进行了参数设置，与 Widar 3.0 相当，并经过 100 次循环训练。随后，我们附上了针对不同任务的混淆矩阵，该矩阵已展示在数据集同一级别的文件夹中，供您参考。同时，我们还附带了 ADP 的可视化示例，您可以使用 MATLAB 打开并观察；具体步骤已在说明书中详细描述。