A gesture recognition system includes a Frequency modulated continuous waveform radar system. First and second channels of the signal reflected by the object are preprocessed and respectively sent to first and second feature map generators. A machine-learning accelerator is configured to receive output from the first and second feature map generators and form frames fed to a deep neural network realized with a hardware processor array for gesture recognition. A memory stores a compressed set of weights as fixed-point, low rank matrices that are directly treated as weights of the deep neural network during inference.
Gesture recognition system having machine-learning accelerator