| Title: | OS7-5 Estimation of Learners' Subjective Difficulty in e-Learning Using Thermal Image Processing |
|---|---|
| Publication: | ICAROB2016 |
| Volume: | 21 |
| Pages: | 505-508 |
| ISSN: | 2188-7829 |
| DOI: | 10.5954/ICAROB.2016.OS7-5 |
| Author(s): | Yuki Yoshimitsu, Masayoshi Tabuse |
| Publication Date: | January 29, 2016 |
| Keywords: | learners' subjective difficulty, thermal image, e-learning, temperature changes |
| Abstract: | In recent years, e-learning has been utilized as a learning system in many schools. In a conventional class, a teacher teaches learners face-to-face, so that a teacher observes facial expressions and posture change of learners and estimates learners' subjective difficulty of the lecture. On the other hand, e-learning is usually utilized in the selfstudy. A learner learns a teaching material using a computer by oneself, so that a teacher can't observe the state of the learner. It is difficult for a teacher to estimate learners' subjective difficulty. Therefore, we propose a learners' subjective difficulty estimation system. This system captures the face of a learner in e-learning with a thermal camera. It extracts the face region, measures the temperature changes of the nose region and the forehead region of the learner, and estimates the subjective difficulty of the learner based on the temperature changes. |
| PDF File: | https://alife-robotics.co.jp/members2016/icarob/data/papers/OS/OS7-5.pdf |
| Copyright: | © The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/ |
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