Cooperation level estimation of pair work using top-view image

被引：0

作者：

Sakaguchi, Katsuya ^{[1
]}

Shimada, Kazutaka ^{[1
]}

机构：

[1] Kyushu Institute of Technology

来源：

Advances in Intelligent Systems and Computing | 2014年 / 272卷

关键词：

Cooperation Level; Interaction analysis; Pair Work; Top-view Image;

D O I：

10.1007/978-3-319-05570-1_9

中图分类号：

学科分类号：

摘要：

To understand an interaction among persons is one of the most important tasks in artificial intelligence. In this paper, we propose a method for estimating a cooperation level in pair work. The task is a cooperation work that take place in front of a whiteboard by two persons. The goal of our study is to provide the cooperation level that is estimated by features extracted from images for teachers. The result of this study is useful for education support systems and problem based learning. We extract the standing location, operation ratio and head direction of each person from an overhead camera. We apply the features to two machine learning approaches: AdaBooost and multiple linear regression. We obtained 77.5% as the accuracy by the AdaBoost and 0.649 as the adjusted R2 by the regression. © Springer International Publishing Switzerland 2014.

引用

页码：77 / 87

页数：10

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