TY  - JOUR
T1  - Human Body Motion Similarity Analysis Using Markerless Motion Capture System
AU - Iqbal, Mohammad AU - Chalri, Yulia AU - Candra, Robby 
JO  - Journal of Engineering and Applied Sciences
VL  - 13
IS  - 6
SP  - 1472
EP  - 1478
PY  - 2018
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2018.1472.1478
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2018.1472.1478
KW  - Human body motion capture
KW  -Microsoft Kinect
KW  -similarity analysis system
KW  -cosine similarity
KW  -velocity
KW  -measurement
AB  - 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%.
ER  -