Purpose This study measured the haptic extroperception accuracy, that is, judging one hit position in a hand-held object. Especially, what factors associated the estimation of contact position when the impact is made at the grasped implement by hitting the ball. Methods Relative frequency and conditional probability based analysis verified that perceivers influenced not only the amount of pressure distinguished impressions by the coefficient of restitution but also the pressure distributions encoded impressions by the distance from the hand to the impact. Results Results conformed to previous invariant characteristic on dynamic touch in showing that perceiving the location of the impact of grasped objects, including dominant perceiving selectively modality, is constrained by inertial properties with such success requires appreciating the location of the implement’s center of percussion. Conclusion Investigated in this planes captured as a mechanical factor, we would suggest a broader hypothesis for further research into the effects of the rotational inertia related to haptic position accuracy in the hand-held object, and leading to different estimates of system function providing an account of generalization that accommodates of its varied aspects.
Purpose The primary purpose of this study is to show and guide how to construct a large variety of behaviors in systems dynamic for sport science. Methods By applying a simple algorithm to networked agents, which could, conceivably, offer a straightforward way out of the complexity, computational mechanism which along with its dynamics (payoff, failure, and strategy) involved. Results The model starts with the probability that systemic risk potential such as failure spreads. Even in a very random structure commonly used in sports field, propagation of the potential is guaranteed by an arbitrary network property of a set of elements. Despite the intensive systemic potential, the opposite type of potential like absence of failure could also be driven when there has been a strong investment in protection through a heuristically evolved protection level. Conclusion The implementation still needs to be polished against what happens in the real sports world, but in general, applied conceptual principle and methodological techniques behind the network-agent based mechanisms could be useful for researchers those who need to use systemes dynamic to guard in sport science.
