Drive early-warning method based on pulse condition diagnosis mode

Abstract

The invention provides a drive early-warning method based on a pulse condition diagnosis mode. The drive early-warning method comprises the following steps of: (1) setting different scenes, acquiring basic signals in all the different scenes of the a person by a sensing head and establishing a mood database of a the person; (2) acquiring a state signal of a car by a car bus and establishing a state database of the car state; (3) acquiring the basic signal of the a driver in real time by the sensing head, and combining with the mood database to and obtaining the mood level of the driver; acquiring the current state signal of the car through the car bus, and combining with the state database of the car and to obtaining the current state of the car; and (4) comparing the mood level of the driver and the current state of the car, thus sending drive reminding. The drive early-warning method provided by the invention has the advantages that the pulse condition is acquired by the sensing head and is converted into a basic signal so as to monitor a characteristic signal of a the driver in real time, judge whether the driver is proper for driving and reduce the traffic accident rate.

Description

【Technical field】 [0001] The invention relates to a driving warning method based on a pulse condition diagnosis mode. 【Background technique】 [0002] Traffic safety is a worldwide problem. The main factors of car accidents include vehicle status, performance, weather conditions, road traffic conditions, etc., but the most important factor is the driver himself. Since the driver's own problems are the most important factor in modern traffic safety, how to judge whether the psychological and physiological state of the driver is suitable for driving? How to tell the driver how to drive properly according to the psychological and physiological state of driving, and give the driver and management personnel timely warnings to avoid traffic accidents has become a hot issue in modern traffic safety research. [0003] Existing methods include alcohol detection, judging whether the driver is drinking heavily by alcohol concentration, performing fatigue analysis on the driver’s face r...

AI Technical Summary

Problems solved by technology

[0004] The existing technology judges the driver's psychological and physiological state by collecting the driver's alcohol content and facial features to judge the driver's state. The information is not rich and comprehensive, and the information collected is complex and static. , from a medical point of view, the incompleteness of information will cause misjudgment

At the same time, driving is a high-speed behavior that requires high real-time performance, and it is difficult to diagnose emergencies through existing technologies.

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