System and method for predicting formation in sports
US11935298B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 27, 2021 |
| Grant date | Mar 19, 2024 |
| Priority date | — |
| Expiry date | Jun 22, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/82
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and method of predicting a team's formation on a playing surface are disclosed herein. A computing system retrieves one or more sets of event data for a plurality of events. Each set of event data corresponds to a segment of the event. A deep neural network, such as a mixture density network, learns to predict an optimal permutation of players in each segment of the event based on the one or more sets of event data. The deep neural network learns a distribution of players for each segment based on the corresponding event data and optimal permutation of players. The computing system generates a fully trained prediction model based on the learning. The computing system receives target event data corresponding to a target event. The computing system generates, via the trained prediction model, an expected position of each player based on the target event data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.