COUGH DETECTION USING MILLIMETER-WAVE FMCW RADAR
Kawon Han (KAIST); Songcheol Hong (KAIST)
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This paper presents a signal processing method to detect human cough signals with a millimeter-wave frequency-modulated continuous-wave (FMCW) radar. Tiny vibrations induced by coughing can be extracted by using the phase demodulation technique of the FMCW radar. A body motion artifact cancellation (BMAC) technique is exploited to suppress motion artifacts, which can easily overwhelm and distort the small vibrations. This allows measuring the vibration frequency of the cough signal even when large-scale body motions are spontaneously involved. Numerical simulations are conducted to evaluate detection probability and accuracy of the cough signal with the proposed method, including the analysis for effects of FMCW chirp non-linearity. The proposed techniques are also verified through experiments with a 60-GHz FMCW radar.