Implementation of Radar-based Breathing Disorder Recognition Using FPGA

In this paper, a compact breathing disorder recognition system is implemented. The time-domain waveform breathing disorder is captured by the digital-IF Doppler radar sensor. Then the breathing disorder recognition module including the feature extraction and kNN algorithm is achieved using the FPGA. The experimental results show that the overall accuracy for classifying six breathing patterns (five breathing disorders and normal breathing) is 73%.