Dop-Net Data

https://dop-net.com/DopNet is a large Radar database organised in a hierarchy in which each node represents the data of a person which is divided into different gestures recorded from that person. The data here was measured with FMCW and CW Radars.DopNet‘s structure makes it a useful tool for Machine Learning Gesture Recognition software and Image Processing for the spectrograms.The shared data was generated by Dr. Matthew Ritchie (University College London (UCL), London, United Kingdom) and Richard Capraru (Nanyang Technological University (NTU) and Singapore Agency for Science, Technology and Research (A*STAR), Singapore) within the UCL Radar Research Group in collaboration with Dr. Francesco Fioranelli (Delft University of Technology (TU Delft), Delft, Netherlands). Furthermore, it started as a Laidlaw Scholarship project.

DopNet 是一个庞大的雷达数据库，其结构呈层级化排列，其中每个节点代表一个人的数据，这些数据按照不同的手势进行划分，并记录自该个体。该数据集采用调频连续波（FMCW）和连续波（CW）雷达进行测量。DopNet 的结构使其成为机器学习手势识别软件和频谱图图像处理的有用工具。共享的数据由伦敦大学学院（University College London, UCL）的 Dr. Matthew Ritchie 以及新加坡南洋理工大学（Nanyang Technological University, NTU）和新加坡科学技术研究局（Agency for Science, Technology and Research, A*STAR）的 Richard Capraru 在 UCL 雷达研究小组内合作生成，同时与荷兰代尔夫特理工大学（Delft University of Technology, TU Delft）的 Dr. Francesco Fioranelli 共同参与。此外，该项目最初是 Laidlaw 奖学金项目的一部分。