Personalizing prediction of performance using data and body-pose for analysis of sporting performance
US11679299B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 28, 2020 |
| Grant date | Jun 20, 2023 |
| Priority date | — |
| Expiry date | Jul 20, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/23
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method of generating a player prediction is disclosed herein. A computing system retrieves data from a data store. The computing system generates a predictive model using an artificial neural network. The artificial neural network generates one or more personalized embeddings that include player-specific information based on historical performance. The computing system selects, from the data, one or more features related to each shot attempt captured in the data. The artificial neural network learns an outcome of each shot attempt based at least on the one or more personalized embeddings and the one or more features related to each shot attempt.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.