Human Detection and Activity Classification Based on Micro-Doppler Signatures Using Deep Convolutional Neural Networks

We propose the use of deep convolutional neural networks (DCNNs) for human detection and activity classification based on Doppler radar. Previously, proposed schemes for these problems remained in the conventional supervised learning paradigm that relies on the design of handcrafted features. Wherea... View More