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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Veröffentlicht in:	2022 2nd International Conference on Computational Modeling, Simulation and Data Analysis (CMSDA) S. 234 - 239
Hauptverfasser:	Zhang, Man, Wei, Yan
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 02.12.2022
Schlagworte:	Analytical models Autoencoder Behavioral sciences Classroom behavior recognition Computational modeling Data models Deep learning Feature extraction Loading Training VAE
Online-Zugang:	Volltext
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