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A computer vision method for mental states

A computer vision and mental state technology, applied in the field of computer vision, can solve the problems of lack of objective evaluation and single evaluation method of patient mental state, and achieve the effect of improving calculation accuracy, high flexibility, and improving diagnostic accuracy and efficiency.

Active Publication Date: 2020-12-15
HEFEI UNIV OF TECH
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a computer vision method for auxiliary diagnosis of mental state, so as to solve the problems in the prior art that there is a single method for assessing the patient's mental state and lack of objective assessment.

Method used

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  • A computer vision method for mental states
  • A computer vision method for mental states
  • A computer vision method for mental states

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Experimental program
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Embodiment Construction

[0031] Such as figure 1 As shown, a computer vision method for auxiliary diagnosis of mental state, the process is as follows:

[0032] (1), select 343 facial expression video sequences of 12 objects as the training database. These include deadpan videos and micro-expressive videos.

[0033] (2) Take out each frame of the video and convert it to gray scale, and cut out each frame of the image into a face image of equal size, which is used as a training sample first.

[0034] (3) Use a convolutional neural network for network training. This convolutional neural network includes a total of 4 convolutional layers and 4 pooling layers. The operations of convolution and pooling are performed alternately. First, the image is input to the first layer. In the convolution layer, it is known that there are multiple convolution kernels. After the convolution kernels are discretely convolved with the original image and a bias item is added, the extracted image features are obtained thro...

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Abstract

The invention discloses a computer vision method for auxiliary diagnosis of mental state. The method uses facial video with known micro-expressions as a training database, and uses a convolutional neural network containing a convolutional layer and a pooling layer to analyze the facial expressions in the video. The image frames are extracted and fused, and then the stochastic gradient descent method is used to perform multiple iterative updates to obtain the optimized network as the trained network. Then the image to be tested is input into the trained network, and the trained network directly outputs the detection results of whether there are micro-expressions in the image to be detected, which provides a reference for doctors to diagnose the patient's mental state. When people try to suppress their true emotions, micro-expressions will appear. Detection of micro-expressions can reflect people's mental state, thereby assisting doctors in diagnosis, and improving the accuracy and efficiency of doctors in diagnosing patients' mental states to a certain extent.

Description

technical field [0001] The invention relates to the field of computer vision methods, in particular to a computer vision method for auxiliary diagnosis of mental state. Background technique [0002] The role and purpose of diagnosing the patient's mental state is to diagnose the patient's mental behavioral state and whether it has changed. It is a very important part of the treatment process to improve the patient's mental behavioral state according to different mental states. During the course of treatment, patients will be affected by some stressors such as surgery, understanding of their own condition, etc., resulting in relatively severe psychological and physiological stress reactions. If these stress reactions are very strong, they may affect the endocrine system, nervous system, etc. The system has an impact, resulting in anxiety, depression and other psychology, and even interferes with the implementation and effect of diagnosis, surgery, and treatment. Therefore, i...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/16G06K9/62G06K9/00
CPCA61B5/165A61B5/7246G06V40/174G06F18/241G06F18/214
Inventor 詹曙李秋宇杨福猛余骏
Owner HEFEI UNIV OF TECH