Authors : Mohammad Iqbal, Yulia Chalri and Robby Candra
Abstract: The similarity analysis system of the human body motion is needed at modern sport (e.g., martial art, aerobic) or dancing school. It can be uses as evaluation tools for instructor to measure a similarity the student movement with the reference movements that are taught by the instructor. In many computer vision research, this system work with multiple camera and need a lot of series sensor attached in human body. This motion capture system requires a careful and precision of camera calibration, also, make the actors uncomfortable with many sensors mounted on the whole body. For that reason, in this study, we used a technology that be able to support the evaluation process of human’s movement without any sensor attached in human body (markerless). One of the available technology is the Microsoft Kinect camera. It has a markerless motion capture technology which can record the human’s movement without any wearable sensors or equipment during the motions, so, the model can move conveniently. The evaluation of the similarity motion was done by calculating the joint angle and angular velocity of the motions which is showed from the graphics of every joint with cosine similarity methods by calculating the cosinus angle from two compared variables. Result of motion angle’s measurement in aerobic, the average similarity value reached 81.12% and velocity measurement value reached 86.19%.
Mohammad Iqbal, Yulia Chalri and Robby Candra, 2018. Human Body Motion Similarity Analysis Using Markerless Motion Capture System. Journal of Engineering and Applied Sciences, 13: 1472-1478.