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학술대회 Measuring the Engagement Level of Children for Multiple Intelligence Test using Kinect
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저자
이동진, 윤우한, 박찬규, 윤호섭, 김재홍, 박정희
발행일
201411
출처
International Conference on Machine Vision (ICMV) 2014 (SPIE 9445), pp.1-5
DOI
https://dx.doi.org/10.1117/12.2181171
협약과제
14MC5400, 잠재 역량 진단을 위한 감정특이점 기반 맞춤형 인지센싱 및 플랫폼 기술개발, 윤호섭
초록
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 제안 키워드
3D joint, Affect recognition, Feature extractioN, Ground truth data, Kinect for Windows, Multiple Intelligence, Recognition System, User segmentation, skeleton tracking