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Conference Paper
Measuring the Engagement Level of Children for Multiple Intelligence Test using Kinect
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- Issue Date
- 2014-11
- Citation
- International Conference on Machine Vision (ICMV) 2014 (SPIE 9445), pp.1-5
- Publisher
- SPIE
- Language
- English
- Type
- Conference 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 children창?궗?꽓s 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.
- KSP Keywords
- 3D joint, Affect recognition, Feature extractioN, Ground truth data, Kinect for Windows, Multiple Intelligence, Recognition system, User segmentation, skeleton tracking