Interception of virtual throws reveals predictive skills based on the visual processing of throwing kinematics - Dataset

<p>Dataset consists of a list of Matlab structures, one for each of the 21 participants. For each participant all the recorded trials are reported (&quot;trials&quot; field). For each trial, the dataset reports information about the associated experimental condition and the kinematics of the ball and the racket trajectories. &nbsp;Information about the experimental condition are specified in the &quot;info&quot; field, which provides the experimental phase (Training and Experimental), the visibility &nbsp;(AllVisible, ThrowerOnly, BallOnly), the target (1, 2, 3, 4), and the thrower ID (1, 2, 3, 4). The kinematics data, starting from the time of ball release, are given in the field &quot;trajectories&quot;, which provides the time vector (in seconds), and the corresponding 3D positions of the racket and the ball (in meters) in the reference frame shown in Figure 1 of the paper.</p>