Similarity Analysis of Taekwondo Movement Using Data Motion
Dharmayanti, Mohammad Iqbal, Adang Suhendra, Achmad Benny Mutiara · 2018 Third International Conference on Informatics and Computing (ICIC) · 2018
Humans have limitations in vision so to observe and measure the similarity of a movement requires a tool. By digitizing motion in motion data form, it can be measured similarity of movement based on angle degree. This study uses Pearson Correlation Coefficient to measure the similarity of Taekwondo movements between masters and trainees. The first step is to acquire motion data, preprocessing, determine joint articulation, determine the position of joints transformation, calculate of speed and acceleration, The similarity of the Taekwondo movement between master and trainee is measured using Pearson Corelation Coefficient method. This study yields a value of 80 % similarity, which shows the similarity of motion between master data motion and trainee data motion on the hip x-axis field. The algorithm that was built has succeeded in reading and analyzing the motion of masters and trainees in real-time.