Analysis of Behaviors by Audience in Lectures by Using Time-series Models

Eiji Watanabe, Takashi Ozeki, Takeshi Kohama

2014

Abstract

In this paper, the dominant behaviors defined by the face direction of the speaker and audience in lectures are analyzed by using the time-series models. First, we detect the face region of the speaker and audience by the image processing and we adopt the number of skin-colored pixels in face region as features for behaviors by them. Next, we construct piecewise time series models for behaviors by the speaker and audience. Finally, we analyze the synchronization phenomena in speaker and audience by comparing time series models. Concretely, we show that the parameters in the time series models denote the dominant section in lectures. Moreover, we discuss the relationships among notes, test and behaviors by audience.

References

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Paper Citation


in Harvard Style

Watanabe E., Ozeki T. and Kohama T. (2014). Analysis of Behaviors by Audience in Lectures by Using Time-series Models . In Proceedings of the 6th International Conference on Computer Supported Education - Volume 1: CSEDU, ISBN 978-989-758-020-8, pages 191-196. DOI: 10.5220/0004787801910196


in Bibtex Style

@conference{csedu14,
author={Eiji Watanabe and Takashi Ozeki and Takeshi Kohama},
title={Analysis of Behaviors by Audience in Lectures by Using Time-series Models},
booktitle={Proceedings of the 6th International Conference on Computer Supported Education - Volume 1: CSEDU,},
year={2014},
pages={191-196},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004787801910196},
isbn={978-989-758-020-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Computer Supported Education - Volume 1: CSEDU,
TI - Analysis of Behaviors by Audience in Lectures by Using Time-series Models
SN - 978-989-758-020-8
AU - Watanabe E.
AU - Ozeki T.
AU - Kohama T.
PY - 2014
SP - 191
EP - 196
DO - 10.5220/0004787801910196