Abstract
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.
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Schütz, C., Klein-Soetebier, T., Schack, T. (2009). Modeling of Biomechanical Parameters Based on LTM Structures. In: Ritter, H., Sagerer, G., Dillmann, R., Buss, M. (eds) Human Centered Robot Systems. Cognitive Systems Monographs, vol 6. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10403-9_17
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DOI: https://doi.org/10.1007/978-3-642-10403-9_17
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