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Automatic Recognition of Sport Events from Spatio-temporal Data: An Application for Virtual Reality-based Training in Basketball

Topics: Animation Algorithms and Techniques; Augmented, Mixed and Virtual Environments; Collaborative Augmented, Mixed and Virtual Environments; Games for Education and Training; Human Figure Animation; Virtual Reality Tools and Languages

Authors: Alberto Cannavò ; Davide Calandra ; Gianpaolo Basilicò and Fabrizio Lamberti

Affiliation: Politecnico di Torino, Dipartimento di Automatica e Informatica, Corso Duca degli Abruzzi 24, 10129 Torino and Italy

ISBN: 978-989-758-354-4

Keyword(s): Machine Learning, Event Recognition, Virtual Reality, Sport Training.

Related Ontology Subjects/Areas/Topics: Animation Algorithms and Techniques ; Animation and Simulation ; Augmented, Mixed and Virtual Environments ; Computer Vision, Visualization and Computer Graphics ; Games for Education and Training ; Human Figure Animation ; Interactive Environments

Abstract: Data analysis in the field of sport is growing rapidly due to the availability of datasets containing spatio-temporal positional data of the players and other sport equipment collected during the game. This paper investigates the use of machine learning for the automatic recognition of small-scale sport events in a basketball-related dataset. The results of the method discussed in this paper have been exploited to extend the functionality of an existing Virtual Reality (VR)-based tool supporting training in basketball. The tool allows the coaches to draw game tactics on a touchscreen, which can be then visualized and studies in an immersive VR environment by multiple players. Events recognized by the proposed system can be used to let the tool manage also previous matches, which can be automatically recreated by activating different animations for the virtual players and the ball based on the particular game situation, thus increasing the realism of the simulation.

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Paper citation in several formats:
Cannavò, A.; Calandra, D.; Basilicò, G. and Lamberti, F. (2019). Automatic Recognition of Sport Events from Spatio-temporal Data: An Application for Virtual Reality-based Training in Basketball.In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1 GRAPP: GRAPP, ISBN 978-989-758-354-4, pages 310-316. DOI: 10.5220/0007524203100316

@conference{grapp19,
author={Alberto Cannavò. and Davide Calandra. and Gianpaolo Basilicò. and Fabrizio Lamberti.},
title={Automatic Recognition of Sport Events from Spatio-temporal Data: An Application for Virtual Reality-based Training in Basketball},
booktitle={Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1 GRAPP: GRAPP,},
year={2019},
pages={310-316},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007524203100316},
isbn={978-989-758-354-4},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1 GRAPP: GRAPP,
TI - Automatic Recognition of Sport Events from Spatio-temporal Data: An Application for Virtual Reality-based Training in Basketball
SN - 978-989-758-354-4
AU - Cannavò, A.
AU - Calandra, D.
AU - Basilicò, G.
AU - Lamberti, F.
PY - 2019
SP - 310
EP - 316
DO - 10.5220/0007524203100316

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