Virtual Reality System for Motion Capture Analysis and Visualization for Folk Dance Training Cover Image

Virtual Reality System for Motion Capture Analysis and Visualization for Folk Dance Training
Virtual Reality System for Motion Capture Analysis and Visualization for Folk Dance Training

Author(s): Zlatka Uzunova, Dimo Chotrov, Stoyan Maleshkov
Subject(s): Education, ICT Information and Communications Technologies
Published by: Нов български университет
Keywords: Virtual reality system; Motion capture; Bulgarian folk dance; Oculus Rift; Kinect; Leap Motion; Unity - Game Engine; Human computer interaction;

Summary/Abstract: In this article an approach and methodology for motion capture, comparison and assessment combined with virtual reality visualization and natural user interaction designed for learning of folk dances is proposed. The methodology includes different methods applied over the three stages of the learning process - capturing of the dance motions, playback of the training material in virtual reality and comparison and assessment of the trainee's movements in real-time. The training process itself can be executed in several different modes with increasing difficulty. At the end of the paper a number of experiments are presented showing our results from the implementation of the first two stages. The described methods utilize Microsoft Kinect and Leap Motion for motion capture, training and navigation and a head mounted display for the stereoscopic visualization and review of the training material.

  • Issue Year: 12/2016
  • Issue No: 1
  • Page Range: 33-47
  • Page Count: 15
  • Language: English