Student online class learning state evaluation method and system based on face recognition
A technology of learning status and face recognition, applied in the computer field, can solve problems such as low efficiency, achieve the effect of improving efficiency, improving accuracy, and improving evaluation effect
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Embodiment 1
[0066] This embodiment provides a method for evaluating students' online learning status based on facial recognition, please refer to figure 1 , the method includes:
[0067] S1: Obtain the student's face image, student's answer to the question and student information;
[0068] Specifically, in the process of students starting the online class, the students turn on the computer's camera to obtain the students' facial information. The collected facial images, students' answers to questions and student information are uploaded to the server as input, and the relevant modules obtain these input information.
[0069] Among them, the video stream is used to monitor the students' listening status. In the specific implementation process, each online class can be divided into different stages according to the time for students to answer questions. The situation and student information are uploaded to the server. In the specific implementation process, considering that the learning ...
Embodiment 2
[0137] Based on the same inventive concept, this embodiment provides a system for evaluating students' online learning status based on facial recognition. Please refer to Image 6 , the system consists of:
[0138] The information acquisition module 201 is used to acquire the facial image of the student, the student's answer to the question and the student's information;
[0139] The student's answering question evaluation module 202 is used to obtain the student's answering question result according to the comparison between the student's answering question and the reference answer;
[0140] Comprehension degree identification module 203, which is used to standardize the collected facial images into consistent picture information and then input them into the trained micro-expression recognition convolutional neural network model to obtain the student's online class listening comprehension status;
[0141] Concentration recognition module 204, is used for carrying out face re...
Embodiment 3
[0150] Based on the same inventive concept, this embodiment provides a computer-readable storage medium on which a computer program is stored, and when the program is executed, the method described in Embodiment 1 is implemented.
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