System and method for predictive sports analytics using clustered multi-agent data
US10204300B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 19, 2017 |
| Grant date | Feb 12, 2019 |
| Priority date | — |
| Expiry date | Jun 19, 2037 |
Classification
- Technology area (CPC A)Human Necessities
- CPC primaryA63F13/65
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system is described for interactively analyzing plays of a sporting event based on real-world positional tracking data. Using positional information regarding the players and/or ball and/or other objects obtained from a tracking system, along with identified event data and contextual information, the system processes a library of plays (e.g., one or more seasons' worth of a league's contests) into a searchable database of plays using multiple alignment templates and discriminative clustering techniques. A user interface is described for interacting with the database in a graphical manner, whereby users can query a graphical depiction of a play and receive the most similar plays from the library, along with statistical information relating to the plays. The user interface further permits the user to modify the query graphically (e.g., moving or exchanging players, ball trajectories, etc.) and obtain updated statistical information for comparison.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.