Non-contact driver fatigue detection method based on millimeter-wave radar

The invention discloses a non-contact driver fatigue detection method based on a millimeter-wave radar. A millimeter-wave radar is used to collect a thoracic cavity vibration signal of a driver in a driving process; after the thoracic cavity vibration signal is preprocessed, the heart rate signals and respiratory signals of different frequency bands are separated; the heartbeat frequency and the respiratory frequency of the separated heart rate and respiratory signals are calculated by adopting a wavelet transform method, and seven derived physiological characteristics are calculated; by exploring the change rule of the physiological features along with time, the physiological features are found to show a good linear change trend along with accumulation of driving time; and the random forest algorithm based on Bayesian optimization effectively discriminates occurrence of fatigue time, and algorithm accuracy can be improved compared with algorithm accuracy of an original random forest model. According to the invention, the discomfort brought to a driver when the driver wears various devices to carry out physiological signal detection is solved, detection cost is reduced, the fatiguemoment of the driver can be accurately predicted, fatigue early warning is sent to the driver, and therefore, the traffic accident rate caused by fatigue is reduced.