Attention holographic intelligent training system based on face recognition and motion capture
A training system, face recognition technology, applied in the field of attention holographic intelligent training system, to achieve strong fun, enhance the sense of substitution, and improve the effect of training
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Embodiment 1
[0045] An attention holographic intelligent training system based on face recognition and motion capture, see figure 1 ,include:
[0046] Acquisition and recognition module: used to collect and identify the face information of the trainee, and obtain the identity registration information of the trainee from the training data record database, and transmit the identity registration information of the trainee to the training module; in the training data record database Record the face information and identity registration information of the trainees in a one-to-one correspondence;
[0047] Specifically, the data record library binds the trainee's identity registration information with its training data. When the trainee registers, the face information and identity registration information of the trainee are collected for filing. The collection and recognition module collects the face information of the trainees with attention disorder or autism, and after using the face recogni...
Embodiment 2
[0064] Embodiment two adds the following content on the basis of embodiment one:
[0065] The training module is also used to:
[0066] When the trainee withdraws from the attention training course, record the training progress of the attention training course; when receiving the identity registration information of the trainee uploaded by the collection identification module, obtain the training progress of the last attention training course of the trainee, according to The last training progress is loaded into the attention training course.
[0067] Specifically, the system also has a memory function, which records the training progress of the trainee last time, and when the trainee re-trains, loads the attention training course according to the training progress of the trainee last time, so that the trainee's current training It can be seamlessly connected to the last training progress, which is more convenient to use. For example, when the trainee was retraining to the s...
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