Synchronization of Dance Motion Data Acquisition using Motion Capture

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 threedimensional (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

Research on the identification and integration of folk dance creation elements based on big data technology

“…The literature [14] proposed a method to visualize the distribution of movement characteristics of Japanese folk dances by analyzing the motion capture data collected from the dances, which can visualize the distribution of movement characteristics of folk dances. In the literature, [15] et al applied motion capture technology and captured a classical dance in Indonesia using Kinect sensors to capture and model the dance movements of dancers, and finally showed the dance performance in the form of synchronized animation. The literature [16] used a motion capture system with 16 cameras to capture the data of Kathakali, a classical dance drama originating from India, to combine the complex gestures, postures, perfect eyes, and facial expressions of the dance after processing and applying them to the human skeletal system, allowing the movements and the emotions of the actors to be captured digitally.…”