Gesture Recognition System Based on 24 GHz FMCW Radar Point Cloud with Limited Resources

This is the millimeter wave radar gesture recognition gesture dataset corresponding to paper . The file is stored in the. npy format of the numpy library in Python. It contains 4 gestures and 1 unrelated set of data, with a total of 5 categories. There are a total of 6000 pieces of data in each category, and each piece of raw data is packaged in a compressed package. The output screenshot of the script shows the details. Other information such as the training result can be viewed in the corresponding paper.