Dop-Net Data

https://dop-net.com/<b>DopNet</b> 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 <b>Dr. Matthew Ritchie</b> (<b>University College London (UCL)</b>, London, United Kingdom) and <b>Richard Capraru</b> (<b>Nanyang Technological University (NTU)</b> and <b>Singapore Agency for Science, Technology and Research (A*STAR)</b>, Singapore) within the <b>UCL Radar Research Group</b> in collaboration with <b>Dr. Francesco Fioranelli</b> (<b>Delft University of Technology (TU Delft)</b>, Delft, Netherlands). Furthermore, it started as a <b>Laidlaw Scholarship project</b>.