Visualization for Easier Recognition of Low-risk and Successful Passes in a Basketball Match
DOI:
https://doi.org/10.52731/liir.v005.274Abstract
In order for a novice-player to improve the decision-making skill in basketball, s/he needs an ability to assess the game situation of every moment and select an appropriate movement for the succeeding future. In this study, the pressure fields obtained by calculation of the positioning metrics of all players on the court are used to assess the situation, and the values are used to find a low-risk and successful receiver for the pass thrown by the ball holder. We also propose and evaluate the prototype that visualizes the pressure fields as a VR-based simulator.
References
Akira Nakagawa, “Some basic concepts for the study on situational judgement in ball game,” Physical Education Research, vol. 28, no. 4, 1984, pp. 287—297.
Felix Labed, Michael Bar-Eli, Complexity and Control in Team Sports: Dialectics in contesting human systems, Routledge, 2014.
Naoki Takamatsu, “Suggestion on the evaluation method of passing in basketball: Focusing on the expected value,” Chiba Journal of Physical Education, vol. 42, 2021, pp. 50—52.
Bernard Loeffelholz, Earl Bednar, and Kenneth W Bauer, “Predicting NBA Games Us-ing Neural Networks,” Journal of Quantitative Analysis in Sports, vol. 5, no. 1, 2009, pp. 1—17.
Dragan Miljkovic, Ljubisa Gajic, Alexksander Kovacevic, and Zora Konjovic, “The use of data mining for basketball matches outcomes prediction” In Proc. of the IEEE 8th International Symposium on Intelligent Systems and Informatics, 2010, pp. 309—312.
Tom Decroos, Jan Van Haaren, and Jesse Davis. “Automatic discovery of tactics in spa-tio-temporal soccer match data,” In Proc. of the 24th ACM International Conference on Knowledge Discovery & Data mining, 2018, pp. 223—232.
Antonio G. Losada, Roberto Therón, and Alejandro Benito, “BKviz: A basketball visual analysis tool,” IEEE Computer Graphics and Applications, vol. 36, Issue 6, 2016, pp. 56—68.
Hironori Takeuchi, Kentaro Ono, Kenji Matsuura, Tetsushi Ueta, “Study of designing a tactical learning support system by applying mathematical modeling,” In Proc. of the 2023 National Conference of the Association for Information on Educational Systems, 2023, pp. 225—226.
Taketo Shibasaki, Kenji Matsuura, Hironori Takeuchi, Kentaro Ono, “Beginner assis-tance in identifying low-risk pass areas for basketball,” JSiSE student workshop in Shi-koku, 2024, pp. 161—162. (In Japanese)
Keiko Yokoyama, Yuji Yamamoto, “Dynamics of Intra-Team Coordination in Ball Games: An Examination Using Six-Person Field Hockey,” Cognitive Studies, vol.18, no. 2, 2011, pp. 284—298.
Shu Yano et al., “A Learning Environment of a Systematic and Tactical Style in Field Sports –Basic Tactic of an Offense Team in Basketball,” Transactions of Information Processing Society of Japan, vol. 61, no. 3, 2020, pp. 657—666.