Athletes Performance Evaluation by Automated Ladder for Speed and Agility
Kanjana Boonim, Parinya Sanguansat · 2018
In this study was to present our framework of the new equipment development as called `Automatic Ladder Training'. The equipment was improved from an ordinary agility ladder training via image processing technique. The training with the ladder was the most significant to the athletes and some perspectives to improve their physical fitness. Traditional ladder training was necessary to have an instructor or a coach to record the athletes' training results, as it was important for their skill developments. As it costs and wasted times to make the record of training results. Therefore, we develop this equipment which can perform 3stepsof its working processes. First step, it will extract features of binary images and detect objective pixels from the trainees' feet. Second step, its alignment will be adjusted in the right position by using perspective transform to visualize a real ladder. Last step is time evaluation of athletes training. The start and the end of training time will be recorded through the pixels of athletes' feet entering and leaving the area of the ladder. To assure the reliability of our framework, we have tested our equipment with 240videos which contained 400Thai youths. From our experiment, the results which are compared to human can confirm our accuracy and achievement.