A gesture interaction system and method applied to an intelligent classroom
An interactive system and gesture technology, which is applied in the field of human-computer interaction, can solve problems such as the inability to correctly recognize the teacher's interactive gestures, the system's inability to recognize students' effective gestures, and the mutual interference of students' gestures, so as to avoid unauthorized operations and reduce the risk of recognition Error, the effect of avoiding interference
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Embodiment 1
[0047] A gesture interaction system applied to an intelligent classroom, including a camera module, a storage module and a processing module.
[0048] The camera module includes a depth camera, and the depth camera is used to collect images of the user's face, hands and posture, and upload the collected images to the storage module. Recognized human hand parts include arms and fingers. In this embodiment, the deep camera adopts the 3D sensor of Jingbiao Technology, which can effectively avoid interference such as light changes, curtain swings, glass reflections, and people walking in the back row during the collection process.
[0049] The storage module is used to store the collected images; the storage module also pre-stores gesture sample database, white list face database, temporarily authorized face database, face recognition algorithm based on deep neural algorithm and gesture recognition model based on deep neural algorithm; Different gesture samples in the sample libr...
Embodiment 2
[0054] Such as figure 1 As shown, a gesture interaction method applied to a smart classroom based on a gesture interaction system applied to a smart classroom includes the following steps:
[0055] S1. Collect the user's face, hand and posture images;
[0056] S2. Recognize the face in the collected image, match the recognized face with the whitelist face database, and determine whether the user belongs to the whitelist user;
[0057] S3. If the user belongs to the whitelist user, identify the hand gesture of the whitelist user in the collected image: convert the collected image into an image frame, and locate from the image frame through background modeling, moving object modeling and HSV skin color detection model For the arms and fingers of the human hand, use the particle filter algorithm of the HSV histogram to obtain the movement trajectories of the arms and fingers, and use the movement trajectories of the arms and fingers as gestures; match the gestures with the gestu...
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