Modeling of Biomechanical Parameters Based on LTM Structures

Previous studies concerned with the interaction of cognition and biomechanics demonstrated correlations between ‘global’ parameters of a movement (e. g. duration) and the cognitive representation structure in long term memory. We asked if more ‘local’ biomechanical parameters (i. e. postures) are integrated into such a representation structure as well. To this end, the movement kinematics and representation structures of table tennis experts were measured for the forehand backspin serve and combined in a multilinear regression model. Results show that a few selected parameters of the ball’s flight can be predicted with good accuracy, while task-relevant posture parameters cannot. Thus, the measurement of cognitive representation structures cannot be used for the joint angle modeling of movement kinematics.