ESP-PCT mmWave Point Cloud Dataset

该数据集是一个为虚拟现实（VR）语义识别任务而收集的毫米波点云和Kinect数据集，总容量达12TB。该数据集包含了从12名参与者那里收集的30秒原始毫米波信号数据（同相和正交分量）以及以每10帧的采样率获取的点云数据。整个数据集由3600个数据集组成，分为不同的按键类别，每个类别有100个数据集。其具体任务是进行VR语义识别，特别是按键识别。

This dataset is a millimeter-wave point cloud and Kinect dataset collected for virtual reality (VR) semantic recognition tasks, with a total capacity of 12 TB. It contains 30-second raw millimeter-wave signal data (in-phase and quadrature components) collected from 12 participants, as well as point cloud data acquired at a sampling rate of 10 frames per second. The entire dataset comprises 3600 subsets, categorized into different button press classes, with 100 subsets per class. The specific task of this dataset is VR semantic recognition, particularly button press recognition.