A Classroom Atmosphere Management System for Analyzing Human Behaviors in Class Activities

@article{YuTe2019ACA,
  title={A Classroom Atmosphere Management System for Analyzing Human Behaviors in Class Activities},
  author={Ku Yu-Te and Yu Han-Yen and Chou Yi-Chi},
  journal={2019 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)},
  year={2019},
  pages={224-231}
}
Deep learning can considerably improve the processing of human behavior signals. This paper presents a system that used computer vision processing of human behavior signals to analyze the behaviors of students in class activities. CIassFu system can be used in physical and online teaching environments. It used image sensors to capture student class behaviors, analyzing classroom atmosphere and the level of teacher-student interaction. The system presents objective data on a teaching setting… CONTINUE READING

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