Synchronization of Dance Motion Data Acquisition using Motion Capture
Joko Sutopo1, Mohd Khanapi Abd Ghani2, M.A.Burhanuddin3
1Joko Sutopo*, Faculty of Information Technology and Electrical, University Technology Yogyakarta, Sleman, Indonesia.
2Mohd Khanapi Abd Ghani, Biomedical Computing and Engineering Technology (Biocore) Apply Research Group, Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia.
3M.A.Burhanuddin, Biomedical Computing and Engineering Technology (Biocore) Apply Research Group, Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia.
Manuscript received on November 18, 2019. | Revised Manuscript received on 27 November, 2019. | Manuscript published on December 10, 2019. | PP: 3639-3642 | Volume-9 Issue-2, December 2019. | Retrieval Number: B8017129219/2019©BEIESP | DOI: 10.35940/ijitee.B8017.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Dance is a body activity that unites body movements, art and certain meanings. Dance performances are sometimes only performed at certain times, so that it is not well known by the public, especially young people today, especially classical dance. They are more interested in presenting a more modern culture because of the development of the times and more advanced technology. The lack of public knowledge about current dance moves has encouraged researchers to conduct motion capture research for dance movements using the Kinect sensor. This paper proposes a technique called mechanical motion capture to capture the motion of objects, namely the dance movement Golek Menak which is one of the classical dances in Indonesia. The proposed Kinect motion capture technique requires special input devices such as cameras with the ability to capture motion up to 2000 frames per second. Kinect has the facility of RGB camera and depth sensor (depth sensor). Kinect’s advantages over other tools that can capture and track the movements or actions of three dimensional (3D) objects (humans and animals) accurately, without marking under certain lighting conditions by utilizing depth sensors. The results showed that the Kinect sensor was able to perform motion capture (MOCAP) techniques in dance movements accurately to produce the right body frame with the movement of dance props which subsequently developed the results in various fields, one of which was the development of motion characters for animation. The results of the synchronization of dance motion data and the capture of motion with motion capture then in this study were developed in the animation of dance movements.
Keywords: Dance, Gesture, Motion, Capture, Movements.
Scope of the Article: Biomedical Computing