Driver fatigue real-time monitoring system and monitoring method based on multi-information

Abstract

The invention discloses a driver fatigue real-time monitoring system and monitoring method based on multi-information. The monitoring system is characterized by comprising an information acquisition unit, an information processing unit and a warning unit; the information acquisition unit comprises a pressure sensor used for extracting grip strength information of a steering wheel by a driver, an angular transducer used for extracting turning angle information of the steering wheel, and a range sensor used for extracting position information of the head of the driver; the information processing unit is used for processing the information obtained by the information acquisition unit, thus characteristic parameters representing the fatigue degree of the state of the driver are obtained, and the level of the state of fatigue of the driver is judged according to the characteristic parameters; the warning unit is used for giving an alarm when the information processing unit judges that the driver is in a non-waking state. The monitoring system has the advantages of high reliability, low cost, high timeliness and a good monitoring effect, and a road accident caused by fatigue driving can be avoided to a large extent.

Description

technical field [0001] The invention belongs to the field of intelligent transportation and safety, and in particular relates to a multi-information-based real-time monitoring system and monitoring method for driver fatigue. Background technique [0002] In recent years, road traffic accidents have increased sharply. One of the important reasons is fatigue driving. For this reason, scientifically and effectively monitoring the driver's driving state, and giving the driver prompts and alarms has become an active safety monitoring field for car drivers. research hotspots. [0003] In the current research, many countermeasures are used to monitor the state of fatigue driving: most of the methods of using physiological sensors to monitor the changes of the driver’s physiological indicators are highly intrusive, will cause interference to the driver, and have poor practicability; while using a single fatigue The feature method has low reliability and poor practicability; while t...

AI Technical Summary

Problems solved by technology

[0003] In the current research, many countermeasures are used to monitor the state of fatigue driving: most of the methods of using physiological sensors to monitor the changes of the driver’s physiological indicators are highly intrusive, will cause interference to the driver, and have poor practicability; while using a single fatigue The feature method has low reliability and poor practicability; while the method using machine vision and image processing technology is greatly affected by light changes and individual factors of the driver, resulting in high cost of these monitoring devi

Images