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Psychological behavior recognition method, device and storage medium

A recognition method and behavioral technology, applied in character and pattern recognition, acquisition/recognition of facial features, instruments, etc., can solve the problems of slow calculation speed, low accuracy of micro-expression recognition, single micro-expression recognition, etc., to improve the speed , the effect of improving accuracy

Active Publication Date: 2019-01-04
GCI SCI & TECH +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the calculation speed of the global calculation method is slow, the accuracy of micro-expression recognition is low, and only a single micro-expression can be recognized, and various emotional combinations under the micro-expression cannot be studied in depth. Therefore, the existing global calculation method The method of micro-expression recognition is not suitable for students' classroom psychological behavior recognition

Method used

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  • Psychological behavior recognition method, device and storage medium
  • Psychological behavior recognition method, device and storage medium
  • Psychological behavior recognition method, device and storage medium

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Experimental program
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Embodiment 1

[0048] see figure 1 , which is a schematic flowchart of a psychological behavior recognition method provided by an embodiment of the present invention. The method can be performed by a psychological behavior recognition device, and specifically includes the following steps:

[0049] S100: Detect the face features of the pre-collected target face image, and acquire at least five face feature points of the target face image;

[0050] In the embodiment of the present invention, the psychological behavior recognition device can be a computing device such as a computer, a mobile phone, a tablet computer, an access control device, a notebook computer or a server, and the psychological behavior recognition method can be integrated with the psychological behavior recognition method as one of the functional modules. On the behavior recognition device, it is executed by the psychological behavior recognition device.

[0051] In the embodiment of the present invention, the psychologica...

Embodiment 2

[0123] see Figure 4 , which is a schematic block diagram of a psychological behavior recognition device provided by an embodiment of the present invention, and the device includes:

[0124] Facial feature detection module 1, used to detect the facial features of the target human face image collected in advance, and obtain at least five facial feature points of the target human face image;

[0125] The image cutting block module 2 is used for performing block processing on the target face image according to the face feature points of the target face image and preset image block rules to obtain several blocks;

[0126] Emotional feature identification module 3, for according to described several picture blocks, obtain the corresponding emotional feature combination of described target face image by the convolutional neural network model established in advance;

[0127] The psychological behavior recognition module 4 is used to obtain the psychological behavior recognition resu...

Embodiment 3

[0156] see Figure 5 , is a schematic diagram of the psychological behavior recognition device provided by the third embodiment of the present invention. The psychological behavior recognition device includes: at least one processor 11, such as CPU, at least one network interface 14 or other user interfaces 13, memory 15, at least one communication bus 12, and the communication bus 12 is used to realize connection and communication between these components. Wherein, the user interface 13 may optionally include a USB interface, other standard interfaces, and a wired interface. The network interface 14 may optionally include a Wi-Fi interface and other wireless interfaces. The memory 15 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory. The memory 15 may optionally include at least one storage device located away from the aforementioned processor 11 .

[0157] In some embodiments, the memory...

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Abstract

The invention provides a psychological behavior recognition method, a device and a storage medium. The method comprises the following steps: the facial features of a target face image collected in advance are detected, and at least five facial feature points of the target face image are obtained; according to the facial feature points of the target face image and the preset image partitioning rules, the target face image is segmented and several blocks are obtained; according to several image blocks, the emotional feature combinations corresponding to the target face images are obtained through the convolution neural network model established in advance; according to the combination of emotional features corresponding to the target face image, the psychological behavior recognition resultscorresponding to the target face image are obtained through the pre-established psychological behavior recognition model. The method extracts the combination of emotion features from the target faceimage by convolution neural network model, and recognizes the combination of emotion features. The method can improve the accuracy of psychological behavior recognition from the recognition of the target face image.

Description

technical field [0001] The present invention relates to the technical field of micro-expression recognition, in particular to a psychological behavior recognition method, device and storage medium. Background technique [0002] The monitoring of classroom behavior is an important part of the school's evaluation of teaching quality. Only by fully understanding the teaching level of teachers and the reaction of students in class can high-quality teaching be guaranteed. At present, the monitoring of classroom behavior adopts the methods of student records, teacher test simulation, and teacher observation and supervision. This method cannot fully mobilize students' learning interest, cannot evaluate the teacher's teaching effect, and cannot simultaneously realize the classroom of students and teachers. Behavior collection, analysis, recording and evaluation. [0003] Microexpressions, on the other hand, are very fleeting, involuntary facial expressions that humans reveal when t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/34G06N3/04
CPCG06V40/171G06V40/174G06V10/267G06N3/045
Inventor 杜翠凤蒋仕宝温云龙杨旭周善明张添翔叶绍恩梁晓文
Owner GCI SCI & TECH
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