Ellipse Feature Detection in Rope Skipping for Gross Motor Skill Development

To support novice learners to acquire a new skill, it is important to understand the underlying principles of the skill. This means that the support system must analyze the skill and develop methods therein to offer credible support to enable efficient learning. This work employs the data from 8 skilled rope skipping subjects to analyze the rope skipping task to find features that can be used for support. The processes involved include finding the best rope and hand trajectory fitting using ellipses. This will enable better speed variation detection and timing that can be used to support new learners. In this work, the rope skill attempted is learning to do the “double under” jump. A “double under” jump is defined as completing two rope rotations per jump. Experimental results prove that this is an effective method for accurate feature detection and tracking.

著者英表記誤記あり　(誤)Nada Gotoda →(正)Naka Gotoda