Interception of virtual throws reveals predictive skills based on the visual processing of throwing kinematics - Dataset
- 1. Fondazione Santa Lucia Istituto di Ricovero e Cura a Carattere Scientifico, Consiglio Nazionale delle Ricerche
- 2. Fondazione Santa Lucia Istituto di Ricovero e Cura a Carattere Scientifico, Università degli Studi di Messina
- 3. Fondazione Santa Lucia Istituto di Ricovero e Cura a Carattere Scientifico, Università degli Studi di Roma Tor Vergata
Contributors
Researchers:
Supervisors:
- 1. Fondazione Santa Lucia Istituto di Ricovero e Cura a Carattere Scientifico, Consiglio Nazionale delle Ricerche
- 2. Fondazione Santa Lucia Istituto di Ricovero e Cura a Carattere Scientifico, Università degli Studi di Messina
- 3. Fondazione Santa Lucia Istituto di Ricovero e Cura a Carattere Scientifico, Università degli Studi di Roma Tor Vergata
Description
Dataset consists of a list of Matlab structures, one for each of the 21 participants. For each participant all the recorded trials are reported ("trials" field). For each trial, the dataset reports information about the associated experimental condition and the kinematics of the ball and the racket trajectories. Information about the experimental condition are specified in the "info" field, which provides the experimental phase (Training and Experimental), the visibility (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 "trajectories", 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.
Files
Files
(26.4 MB)
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