Visualization Analysis of Learning Attention Based on Single-image PnP Head Pose Estimation

DOI

10.2991/icesame-17.2017.324How to use a DOI?

Keywords

Head Pose, Visualization, Attention Analysis, Classroom Evaluation.

Abstract

Learning attention analysis of students is the important indicator of classroom teaching/learning quantitative evaluation. Owing to the fact that the head-mounted eye tracker is expensive and unsuitable to be widely used in the large-scale classroom evaluation under expenditure limitation, in this paper, we uses the PnP(Perspective-n-Point) method to estimate student's head pose for single-image. And then we achieve visualization of learning attention. Experiments demonstrate the following advantages of our method. (1) The method limits the average head-pose estimation errors under 4.88° with Biwi database. (2) This work has implemented student learning attention visualization analyses for three typical learning cases including engagement, attention, and disregard.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Dongxing Li
AU  - Heng Liu
AU  - Wenquan Chang
AU  - Pengfei Xu
AU  - Zuying Luo
PY  - 2017/06
DA  - 2017/06
TI  - Visualization Analysis of Learning Attention Based on Single-image PnP Head Pose Estimation
BT  - Proceedings of the 2017 2nd International Conference on Education, Sports, Arts and Management Engineering (ICESAME 2017)
PB  - Atlantis Press
SP  - 1508
EP  - 1512
SN  - 2352-5398
UR  - https://doi.org/10.2991/icesame-17.2017.324
DO  - 10.2991/icesame-17.2017.324
ID  - Li2017/06
ER  -