Improve the Traditional Autoencoder Student Classroom Behavior Recognition Algorithm
Most of the existing behavior recognition methods are aimed at the dynamic behavior in action. When applied to the static behavior recognition environment in the classroom, it is difficult to achieve the ideal effect and waste computing resources. Therefore, aiming at the specific environment of cla...
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| Published in: | 2022 2nd International Conference on Computational Modeling, Simulation and Data Analysis (CMSDA) pp. 234 - 239 |
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| Main Authors: | , |
| Format: | Conference Proceeding |
| Language: | English |
| Published: |
IEEE
02.12.2022
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| Subjects: | |
| Online Access: | Get full text |
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