Method and system for adjusting road tension emotion of driver based on micro-expression recognition

A technology of tension and adjustment methods, applied in character and pattern recognition, acquisition/recognition of facial features, instruments, etc., can solve problems such as increased safety hazards and traffic safety hazards, to avoid traffic accidents, improve traffic road safety, reduce The effect of traffic hazard

Active Publication Date: 2021-07-20
WUHAN UNIV OF TECH
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Problems solved by technology

[0002] With the development of the economy, the increase in driving vehicles has led to an increase in potential safety hazards. For those who drive for a short time, facing uneven and narrow roads, when there are many vehicles passing by or the roads are congested, it is inevitable. There will be tension and irritability. This kind of negative emotion has a great hidden danger to traffic safety.

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  • Method and system for adjusting road tension emotion of driver based on micro-expression recognition
  • Method and system for adjusting road tension emotion of driver based on micro-expression recognition
  • Method and system for adjusting road tension emotion of driver based on micro-expression recognition

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Embodiment Construction

[0022] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the implementation examples described here are only used to illustrate and explain the present invention, and are not intended to limit this invention.

[0023] please see figure 1 A method for regulating driver's road tension based on micro-expression recognition provided by the present invention, comprising the following steps:

[0024] Step 1: Use the public face micro-expression data set on the Internet, first preprocess the data set, and then build a driver's nervous emotion recognition model based on micro-expression recognition;

[0025] please see figure 2 , the driver’s nervous emotion recognition network in this embodiment is built using a graph convolutional neural network and a long-term short-t...

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Abstract

The invention discloses a driver road tension adjusting method and system based on micro-expression recognition; the method comprises the steps: firstly, disclosing a face micro-expression data set through a network, carrying out the preprocessing of the data set, and constructing a driver tension recognition model based on micro-expression recognition; then simulating driving by a driver, acquiring a facial micro-expression signal of the driver in real time, and performing preprocessing and feature extraction on acquired data to obtain ideal micro-expression data of the driver; and finally, in the actual driving process of the driver, acquiring a driver face micro-expression signal in real time, inputting the micro-expression signal into the constructed driver nervous emotion recognition model based on micro-expression recognition, recognizing the emotion of the driver, and further making a corresponding emotion regulation decision through interaction with the driver. According to the invention, traffic risks can be effectively reduced, traffic accidents caused by nervous emotion of a driver during driving are avoided, and the traffic road safety is improved.

Description

technical field [0001] The invention belongs to the field of computer software and automobile technology, and relates to a driver's road tension adjustment method and system, in particular to an advanced driving assistance method and system based on image feature extraction and classification. Background technique [0002] With the development of the economy, the increase in driving vehicles has led to an increase in potential safety hazards. For those who drive for a short time, facing uneven and narrow roads, when there are many vehicles passing by or the roads are congested, it is inevitable. There will be tension and irritability, and this kind of negative emotion has a great hidden danger to traffic safety. [0003] According to the research of Wiesenthal, Hennessy and Totten in 2000, people are prone to nervousness when driving in congested or narrow roads. North and Hargreaves found through experiments that appropriate music is good for soothing the mood, but differe...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06N3/04B60W50/14
CPCB60W50/14G06V40/174G06V40/168G06V20/597G06N3/044
Inventor 刘志恩秦榕沛彭可挥谢丽萍刘恺卢炽华颜伏伍侯献军
Owner WUHAN UNIV OF TECH
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