Machine learning augmented loop drive training
US11369844B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 30, 2020 |
| Grant date | Jun 28, 2022 |
| Priority date | — |
| Expiry date | Oct 24, 2040 |
Classification
- Technology area (CPC A)Human Necessities
- CPC primaryA63B2230/62
- WIPO fieldFurniture, games
- WIPO sectorOther fields
Abstract
Disclosed are techniques for leveraging machine learning to generate posture adjustment values for specific body postures of a player to improve loop drive techniques, such as in table tennis. Video clips of a player hitting a ball with a loop drive technique are analyzed to determine values for specific body postures and qualities of the ball after being hit. A machine learning model is generated to analyze relationships between body posture values and ball qualities. Upon receiving a video clip of a live session of a player hitting a ball using a loop drive technique, the machine learning model is used to generate adjustment values for body postures of the player to impart improved loop drive qualities to the ball, such as faster topspin.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.