Abstract
In this study, the motions involved in hula hooping were divided into several chronological segments, and a method for determining the skills involved in each segment developed. A significant number of the actions we perform every day, such as walking and running, involves periodic operations. These actions are learned early in childhood and, in later life, we go through the motions unaware of the component actions. However, when it becomes necessary to reacquire these talents through rehabilitation or other means, a considerable amount of effort is subsequently required through repeated trial and error before we can efficiently perform them once more. We have developed an algorithm that can chronologically and quantitatively represent the skills involved in these periodic behaviours. This paper outlines the construction of a Bayesian networks model used for analysis, and presents information on the number of segments, representation of the skills involved in a motion/action when there is variance in the position of a segment, and the reliability of those skills.
