A Driver State Detection Method Based on Facial Expression

A driver status and facial expression technology, applied in the direction of acquisition/recognition of facial features, computer components, instruments, etc., can solve the problems that affect the real-time detection of driver status, the accuracy rate needs to be improved, and the calculation speed is low

Active Publication Date: 2022-03-25
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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AI Technical Summary

Problems solved by technology

[0005] However, the existing driver state detection based on facial tags has a large number of parameters and low calculation speed, which affects the real-time performance of driver state detection.
At the same time, the accuracy needs to be improved

Method used

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  • A Driver State Detection Method Based on Facial Expression
  • A Driver State Detection Method Based on Facial Expression
  • A Driver State Detection Method Based on Facial Expression

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Experimental program
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Embodiment

[0040] In the present invention, firstly, the haar feature+adaboost face detection algorithm is used to detect the driver's face area, that is, the facial image, and then the detected facial image is preprocessed and input into the constructed facial expression recognition convolutional neural network, Real-time detection of the current driver's facial expressions to obtain the driver's driving status.

[0041] figure 1 It is a flow chart of the driver state detection method based on facial expression of the present invention.

[0042] In this embodiment, as figure 1 As shown, the driver state detection method based on facial expression of the present invention comprises the following steps:

[0043] Step S1: Obtain the driver's face image

[0044] Use the camera installed in front of the driver to obtain the driver's video stream, and use the haar feature + adaboost face detection algorithm to detect the user's face area in the video stream image, that is, the face image: ex...

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Abstract

The invention discloses a driver state detection method based on facial expressions. Through gray scale, Gamma correction and PCA dimension reduction processing, the size of the facial image is reduced and the features are enhanced. On this basis, the present invention constructs a convolutional neural network for facial expression recognition composed of sequentially connected four-layer structure, average pooling layer, dropout layer and softmax classifier. The number of parameters is small. At the same time, the inception structure is designed A new form is adopted, the traditional regular convolution 3*3 convolution is split into 1*3 convolution and 3*1 convolution, which saves a lot of parameters, speeds up operations and reduces overfitting. And a layer of nonlinear extension model expression ability is added, which can process more and richer spatial features and increase feature diversity. This inception structure design makes the facial expression recognition volume neural network more lightweight, and at the same time has a better detection effect, which improves the accuracy of driver state detection.

Description

technical field [0001] The invention belongs to the technical field of driver status, and more particularly, relates to a driver status detection method based on facial expression, that is, a method of detecting the driver's facial expression in real time and thereby judging the current driving status of the driver. method. Background technique [0002] The driver's driving state plays a crucial role in safe driving. By detecting the driver's driving state in real time, the driver's safe driving can be well ensured. [0003] At present, the analysis and judgment of the driver's driving state is mainly divided into two categories: contact type and non-contact type. Among them, the contact method mainly uses wearable devices to detect the physiological signals such as the driver's brain electrical signal and myoelectric signal to determine the driver's driving state. The main disadvantage of this method is that the detection process will affect the driver's safe driving. And...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V40/16G06V20/59G06V10/77G06V10/776G06K9/62
CPCG06V40/174G06V40/161G06V20/597G06F18/2193G06F18/2135
Inventor 胡江平甘路涛张馨滢李咏章
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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