[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.17703/IJACT.2021.9.3.367

Kinect Sensor- based LMA Motion Recognition Model Development

Hong, Sung Hee (Dance Art Technology, Dongyang University)

Publication Information

International Journal of Advanced Culture Technology / v.9, no.3, 2021 , pp. 367-372 More about this Journal

Abstract

The purpose of this study is to suggest that the movement expression activity of intellectually disabled people is effective in the learning process of LMA motion recognition based on Kinect sensor. We performed an ICT motion recognition games for intellectually disabled based on movement learning of LMA. The characteristics of the movement through Laban's LMA include the change of time in which movement occurs through the human body that recognizes space and the tension or relaxation of emotion expression. The design and implementation of the motion recognition model will be described, and the possibility of using the proposed motion recognition model is verified through a simple experiment. As a result of the experiment, 24 movement expression activities conducted through 10 learning sessions of 5 participants showed a concordance rate of 53.4% or more of the total average. Learning motion games that appear in response to changes in motion had a good effect on positive learning emotions. As a result of study, learning motion games that appear in response to changes in motion had a good effect on positive learning emotions

Keywords

Azure Kinect; Laban Motion Analysis; Movement activity;

Citations & Related Records

Reference

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