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

A millimeter-wave radar and driver fatigue technology, applied in diagnostic recording/measurement, medical science, sensors, etc., can solve the problems of low driver comfort and difficult application, and achieve improved performance, high accuracy, and improved accuracy Effect

Inactive Publication Date: 2020-09-15
DALIAN UNIV OF TECH
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AI Technical Summary

Problems solved by technology

Analyzing the driver's physiological information is limited by the previous technical conditions. During the detection process, a large number of electrodes need to be pasted on the driver's body. Due to factors such as the narrow car body and the low comfort of the driver, although this method has high accuracy, it cannot Difficult to apply on real vehicles

Method used

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

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Embodiment Construction

[0032] The specific implementation manners of the present invention will be further described below in conjunction with the accompanying drawings and technical solutions.

[0033] refer to figure 1 , when performing the experiment of collecting physiological signals by the millimeter-wave radar, go to step S100 and start.

[0034] Step S100: arrange the millimeter-wave radar on the seat behind the driver or other suitable positions, connect the millimeter-wave radar to the PC, and continuously transmit data to the PC during driving.

[0035] Step S101: Obtain chest vibration data collected by the millimeter-wave radar.

[0036] Step S102: Preprocessing the acquired chest vibration data.

[0037] Step S103: filter and separate the heart rate signal and the respiration signal from the original signal,

[0038] Step S104: use a formula to calculate the derived time-domain feature value of the heart rate signal.

[0039] Step S105: Calculate the derived frequency-domain eigenv...

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Abstract

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.

Description

technical field [0001] The invention relates to the technical field of human health detection, in particular to a non-contact driver fatigue detection method based on millimeter wave radar. Background technique [0002] In recent years, with the rapid development of China's economy, the mode of transportation of citizens has gradually changed from public transportation to private cars, which is accompanied by a high incidence of traffic accidents. Among the causes of traffic accidents, the driver's human factor cannot be underestimated. According to relevant investigations, up to 30% of accidents are caused by fatigue driving. If the drowsy state of the driver can be effectively detected and an early warning is issued, traffic accidents caused by fatigue factors will be greatly reduced. [0003] At present, the research on intelligent recognition of driver fatigue mainly focuses on the implementation of driver behavior and vehicle behavior. However, this kind of research n...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0205A61B5/18A61B5/00
CPCA61B5/0205A61B5/02405A61B5/0507A61B5/0816A61B5/165A61B5/18A61B5/725A61B5/7257A61B2503/22
Inventor 高俊杰侯宛伶岳明王强林家乐赵鹏杨成昆
Owner DALIAN UNIV OF TECH
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