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Proceedings Paper

Measuring the engagement level of children for multiple intelligence test using Kinect
Author(s): Dongjin Lee; Woo han Yun; Chan kyu Park; H. Yoon; Jaehong Kim; C. H. Park
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Paper Abstract

In this paper, we present an affect recognition system for measuring the engagement level of children using the Kinect while performing a multiple intelligence test on a computer. First of all, we recorded 12 children while solving the test and manually created a ground truth data for the engagement levels of each child. For a feature extraction, Kinect for Windows SDK provides support for a user segmentation and skeleton tracking so that we can get 3D joint positions of an upper-body skeleton of a child. After analyzing movement of children, the engagement level of children’s responses is classified into two classes: High or Low. We present the classification results using the proposed features and identify the significant features in measuring the engagement.

Paper Details

Date Published: 14 February 2015
PDF: 5 pages
Proc. SPIE 9445, Seventh International Conference on Machine Vision (ICMV 2014), 944529 (14 February 2015); doi: 10.1117/12.2181171
Show Author Affiliations
Dongjin Lee, Electronics and Telecommunications Research Institute (Korea, Republic of)
Woo han Yun, Electronics and Telecommunications Research Institute (Korea, Republic of)
Chan kyu Park, Electronics and Telecommunications Research Institute (Korea, Republic of)
H. Yoon, Electronics and Telecommunications Research Institute (Korea, Republic of)
Jaehong Kim, Electronics and Telecommunications Research Institute (Korea, Republic of)
C. H. Park, Chungnam National Univ. (Korea, Republic of)


Published in SPIE Proceedings Vol. 9445:
Seventh International Conference on Machine Vision (ICMV 2014)
Antanas Verikas; Branislav Vuksanovic; Petia Radeva; Jianhong Zhou, Editor(s)

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