PORTO @ 
Archivio Istituzionale della Ricerca
IRIS è la soluzione IT che facilita la raccolta e la gestione dei dati relativi alle attività e ai prodotti della ricerca. Fornisce a ricercatori, amministratori e valutatori gli strumenti per monitorare i risultati della ricerca, aumentarne la visibilità e allocare in modo efficace le risorse disponibili.
EnglishData 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.
Automatic recognition of sport events from spatio-temporal data: An application for virtual reality-based training in basketball / Cannavo', Alberto; Calandra, Davide; Basilicò, Gianpaolo; Lamberti, Fabrizio. - ELETTRONICO. - (2019), pp. 310-316. ((Intervento presentato al convegno 14th International Conference on Computer Graphics Theory and Applications (GRAPP 2019) tenutosi a Prague, CZ nel 25-27 February 2019.
| Titolo: | Automatic recognition of sport events from spatio-temporal data: An application for virtual reality-based training in basketball |
| Autori: | |
| Data di pubblicazione: | 2019 |
| Abstract: | Data analysis in the field of sport is growing rapidly due to the availability of datasets contai...ning 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. |
| ISBN: | 978-989-758-354-4 |
| Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
File in questo prodotto:
| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| GRAPP_2019_40_CR_lq.pdf | Post-print versione editoriale | 2a Post-print versione editoriale / Version of Record | Non Pubblico - Accesso privato/ristretto | Administrator Richiedi una copia |
http://hdl.handle.net/11583/2721460
Copyright © 2021