System and method for predicting influence of music on behaviors of driver

Abstract

The invention provides a system and a method for predicting influence of music on behaviors of a driver. The method comprises the following steps: when playing music in a driving process, recording road conditions ahead and a driving control operation as well as physiological characteristics of a driver during driving; determining music characteristics of music played and whether the driving control operation is dangerous or not; establishing a model for predicting influence of the music on behaviors of the driver; and by virtue of the model for predicting influence of the music on behaviors of the driver, predicting the driving control operation and judging whether the driving control operation is dangerous or not in real time according to real-time road condition images, physiological characteristics of the driver and the music characteristics of the music played, and reminding in the case of the control operation is a dangerous operation. The system and the method for predicting the influence of the music on the behaviors of the driver disclosed by the invention can remind dangerous behaviors which may be adopted by the driver, so that the probability of traffic accidents is reduced.

Description

technical field [0001] The invention relates to the technical field of signal processing, in particular to a system and method for predicting the influence of music on driver behavior. Background technique [0002] With the development of the economy, in recent years, the number of car reservations has increased explosively, and the problem of traffic safety has become increasingly prominent. In addition to unavoidable emergencies and complex road conditions, traffic accidents are often caused by the driver's own driving state, such as driving level, fatigue, emotional state, attention, etc. Among them, the emotional state and attention have a certain relationship with the music listened to during driving. However, the influence of music on the driver's driving behavior is very complicated. Even the same music has great differences in the influence on the driver under different driving conditions. For example, when a driver is in a state of fatigue, listening to metal musi...

AI Technical Summary

Problems solved by technology

However, these solutions do not take into account factors such as the music the driver is currently listening to, road conditions, and driving environment when detecting whether the driver is in a dangerous driving emotional state, which may lead to frequent false reminders

[0004] In addition, some of the currently existing schemes use music to adjust the driver's state, but the research on the influence of music on the driver's mood is still in the experimental simulation stage, and the coverage of music that can affect the driver's mood can be obtained The accuracy is extremely small, and it cannot cover the rich music songs in the car radio, CD and MP3 at all, and the simulation experiment does not consider other factors such as road conditions ahead, driving environment, etc., so it is difficult to be extended to the actual car early warning system

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