2026-05-27T02:46:17Z https://api.figshare.com/v2/oai
oai:figshare.com:article/25486597 2024-09-05T11:00:57Z category_26503 portal_549 item_type_3 month_year_09_2024
10.5522/04/25486597.v1 https://figshare.com/articles/dataset/Dop-Net_Data/25486597 https://ndownloader.figshare.com/files/45297967 Ritchie, Matt Matt Ritchie 0000-0001-8423-8064 <![CDATA[Dop-Net Data]]> Electronic sensors Radar -- Research 2024-09-05 2024-09-05 Dataset 2024 University College London 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.

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