Analysis of behaviors by lecturer and students in lectures based on piecewise auto-regressive modeling
Watanabe Eiji, Takashi Ozeki, Takeshi Kohama · 2011
In this paper, we discuss the analysis of behaviors by lecturer and students in lectures. In lectures, the relationships between lecturer and students depend on not only contents but also the loudness of speech and gestures by lecturer. The behaviors consisting of head and eye movements by students can often represent how they have the interest with the lecture. First, we extract the loudness of speech and the face direction as behaviors by lecturer and the face direction as behaviors by students. Next, we construct piecewise auto-regressive (AR) models for their behaviors. Here, the piecewise AR models can be constructed based on the residual error. Finally, we show the analysis results for a real lecture based on the piecewise AR modeling.