Driver state monitoring system based on physiological information

Abstract

The invention relates to a driver state monitoring system based on physiological information. The system comprises a physiological information acquisition unit, a background monitoring center and a vehicle-mounted intelligent box installed on a driving vehicle. The physiological information acquisition unit comprises a heart rate wristband for detecting heart rate data of a driver and a heart ratecoefficient acquisition device for detecting ECG data of a driver; the heart rate wristband is directly connected with the background monitoring center; the heart rate coefficient acquisition deviceis connected with the background monitoring center through the vehicle-mounted intelligent box; and the background monitoring center carries out analysis based on the collected heart rate data and a heart rate variable coefficient to obtain current driver state information. Compared with the prior art, the driver state monitoring system has the following advantages: the heart rate wristband and the heart rate coefficient acquisition device are used for directly acquiring the physiological information of the driver and statistical analysis is carried out based on the physiological information,so that the driving state is reliably monitored in real time on the premise that the construction cost of the monitoring system is lowered and the data processing workload is reduced.

Description

technical field [0001] The invention relates to the technical field of driver state monitoring, in particular to a driver state monitoring system based on physiological information. Background technique [0002] Traffic safety has always been a focus in the field of vehicle driving. It is generally believed at home and abroad that the state of the driver is an important factor in determining traffic safety. According to the investigation and analysis of the American safety scientist Heinrich, the unsafe behavior of drivers has caused 88% of traffic accidents. According to the statistics of traffic accidents in my country, the traffic accidents caused by human errors of drivers account for 90%. In addition to being partially affected by environmental factors, the driver's behavioral errors are more related to the driver's own physiological condition. The state of the driver is closely related to the driving safety of the vehicle, and it always affects the process of the driv...

AI Technical Summary

Problems solved by technology

[0003] At present, the main ways to monitor the driver's status include: 1) By monitoring the driving situation of the vehicle, that is, by monitoring physical parameters such as vehicle speed and steering wheel angle, to judge the driver's status, but this method will have certain data deviations, and the data is real-time. Not enough; 2) Based on the analysis of the driver's facial image, the driver's state can be judged by monitoring the blinking frequency and the opening and closing of the eyelids. This method requires a large amount of image data and continuous training of the algorithm model to ensure the accuracy of the monitoring results. Reliability; 3) Using the integration of various functional modules, such as a monitoring system containing multiple detection sensors, the hardware cost of this method is high, and it needs to integrate multiple detection data for processing and analysis, resulting in

Images