Visualization of Interest Level using OpenPose with Class Videos
DOI:
https://doi.org/10.58190/imiens.2023.47Keywords:
interest level, visualization, OpenPose, classroom video, face directionAbstract
The approach from the teacher's side to improve the classroom is to establish a learning discipline and an improvement method. However, there are various ways to do this, and it is an important part of teachers' work. In this paper, we propose a system for estimating the level of interest from class videos as a means of knowing the learning status of individual students. Using OpenPose, the system detects a person in a class video and extracts feature data of his/her joints. And we measure the concentration level based on the information of posture, facial orientation, and other movements. In addition, assuming that a person's face is facing the direction of the target when he/she is concentrating, we measure the concentration level based on the information of posture, facial direction, and other movements.
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References
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Copyright (c) 2023 Intelligent Methods In Engineering Sciences
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