The aim of this study was to compare the learning process of a highly complex ballet skill following demonstrations of point-light and video models. 16 participants divided into point-light and video groups (ns = 8) performed 160 trials of a pirouette, equally distributed in blocks of 20 trials, alternating periods of demonstration and practice, with a retention test a day later. Measures of head and trunk oscillation, coordination disparity from the model, and movement time difference showed similarities between video and point-light groups; ballet experts' evaluations indicated superiority of performance in the video over the point-light group. Results are discussed in terms of the task requirements of dissociation between head and trunk rotations, focusing on the hypothesis of sufficiency and higher relevance of information contained in biological motion models applied to learning of complex motor skills.
Ultrasonic motors used in high-precision mechatronics are characterized by
strong frictional effects, which are among the main problems in precision
motion control. The traditional methods apply model-based nonlinear feedforward
to compensate the friction, thus requiring closed-loop stability and s...
Present a Bayes-optimal inference and control framework for active sensing,
C-DAC (Context-Dependent Active Controller). Unlike previously proposed
Algorithms that optimize abstract statistical objectives such as information
Maximization (Infomax) [Butko & Movellan, 2010] or one-step look-ahead a...
We propose to
Reshape the multidimensional signal into a 2D signal and sample the 2D signal
Using compressed sensing column by column with the same sensing matrix. It is
Referred to as parallel compressed sensing, and it has much lower storage and
Computational complexity. For a given reconstruction...
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