Intelligent video teaching method and system for realizing action recognition
A technology for video teaching and action recognition, applied in character and pattern recognition, data processing applications, instruments, etc., can solve the problems such as the inability to realize the independent update of video playback content, the difficulty in providing personalized and adaptive learning content, etc., to alleviate the problem. The effect of student fatigue and simple interactive operation
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Embodiment 1
[0046] This embodiment provides an intelligent video teaching method for realizing action recognition, such as figure 1 shown, including the following steps:
[0047] Step 1. Obtain the color image of the learner's face, use the face recognition algorithm to search for the learner in the face database, if the learner is found in the face database, obtain the user ID of the learner, and obtain the learner in the system database Historical learning information (including name, gender, age, learning time, learning points, learning progress, learning efficiency, etc.), and uploaded to the display interface, and presented. At this time, the display interface displays a color image of the learner's face, and displays Learners' historical learning information, including basic information such as name, age, and last learning time, can be presented on computer monitors, large screens, projection displays, etc.; otherwise, add the learner's face image to the face database, And add the ...
Embodiment 2
[0112] The present embodiment provides an intelligent video teaching system for realizing action recognition, which specifically includes the following modules:
[0113] A historical learning information acquisition module, which is configured to: acquire the historical learning information of the learner;
[0114] A learning video playing module, which is configured to: acquire and play learning videos based on learners' historical learning information;
[0115] Among them, in the process of playing the learning video, based on the state judgment cycle, the learner’s face color image is obtained, the key points of the face in the face color image are identified, and the average value of the left and right eye closure and mouth are calculated based on the key points of the face Opening angle, based on the average of left and right eye closure and mouth opening angle to determine whether the learner is in a state of fatigue; at the same time, capture the key points of the learn...
Embodiment 3
[0118] This embodiment provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, the steps in the intelligent video teaching method for realizing action recognition as described in the first embodiment above are implemented.
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