Vehicle-mounted device having driving complete period fatigue level real-time identification and early warning function

Abstract

The invention discloses a vehicle-mounted device having a driving complete period fatigue level real-time identification and early warning function. The device mainly comprises the following modules: a cumulative driving duration acquisition module which is used for judging the cumulative operation state duration of the vehicle and determining the cumulative driving duration of the driver; a workload acquisition module which is used for judging the high-speed driving cumulative workload of the driver; a GPS module which is used for accurately judging the current moment information; a circadian rhythm acquisition module which is used for judging the circadian rhythm cumulative degree of fatigue of the current driver through a moment information circadian rhythm table; a fatigue degree value calculation module which obtains the fatigue degree value of the driver of any moment; and an early warning module which is used for giving fatigue early warning information. According to the vehicle-mounted device, fatigue level judgment can be performed on any time period in the driving process so that the traffic accident can be reduced to a certain extent, the hazard caused by the traffic accident can be reduced and driving of the driver and public traveling are enabled to be safer.

Description

technical field [0001] The invention relates to a vehicle auxiliary safe driving system, in particular to a vehicle-mounted device with a function of real-time identification and early warning of fatigue levels in the whole driving cycle. Background technique [0002] Among the road traffic accidents in our country, fatigue driving is one of the main causes of the highest death toll in a single accident. When the driver is in a state of fatigue due to continuous driving or lack of sleep, there will be changes in physiological indicators such as eye movement, heart rate, skin conductivity, and respiratory rate, and the frequency characteristics and power spectrum parameters of the brain wave signal will also change. There will be some changes. In addition to changes in physiological parameters, the driver's ability to control the vehicle will also decline when he is fatigued: such as oversteering or understeering, unreasonable speed control, etc. The position in the lane is...

AI Technical Summary

Problems solved by technology

[0003] Based on the existing typical driving fatigue detection technology, it can be seen that its technical and application problems are: the principle of video detection is complex, the technical requirements are high, and the algorithm needs to be improved; the user acceptance of wearable devices is poor, and special software and hardware systems need to be developed. It is not easy to expand and apply to other occasions; the cost of equipment for detecting vehicle trajectory is high, and it is difficult to popularize; face detection is greatly affected by light, and the detection effect is poor in special cases

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