Student learning emotion recognition method based on convolutional neural network
A technology of convolutional neural network and identification method, which is applied in the direction of neural learning method, biological neural network model, neural architecture, etc., can solve the problems that teachers cannot pay attention in time, and everyone's learning status cannot be supervised, and achieve the effect of solving difficult perception
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[0071] The specific implementation manner of the present invention will be described below in conjunction with the accompanying drawings.
[0072] Such as figure 1 , the present invention is based on the recognition method of the student learning emotion of convolutional neural network, specifically comprises the following steps:
[0073] Step 1: Collect student video through the camera, and perform frame skip processing on the video, extract an image every 10 frames, and save it as a video sequence, which can not only save the student's image but also reduce the amount of image data.
[0074] Step 2: Use the AdaBoost face detection method based on Haar-like features to detect and locate the face in the video sequence intercepted in step 1, mark the student's face, and obtain the facial area, such as figure 2 As shown in the flow chart of the AdaBoost algorithm, step 2 is specifically:
[0075] Step 2.1, use Haar-like features to describe the face features for the training ...
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