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Dozing Off or Thinking Hard?: Classifying Multi-dimensional Attentional States in the Classroom from Video

F. Putze,Dennis Küster,Sonja Annerer-Walcher,M. Benedek

2018 · DOI: 10.1145/3242969.3243000
International Conference on Multimodal Interaction · 7 Citations

TLDR

This paper extracts features of head pose, eye gaze, and facial expressions from video to estimate individual learners' attentional states in a classroom setting and shows that available generic video processing components and a single video camera are sufficient.

Abstract

In this paper, we extract features of head pose, eye gaze, and facial expressions from video to estimate individual learners' attentional states in a classroom setting. We concentrate on the analysis of different definitions for a student's attention and show that available generic video processing components and a single video camera are sufficient to estimate the attentional state.