Neural animation layering for synthesizing martial arts movements
US11830121B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 1, 2021 |
| Grant date | Nov 28, 2023 |
| Priority date | — |
| Expiry date | Feb 21, 2042 |
Classification
- Technology area (CPC A)Human Necessities
- CPC primaryA63F2300/6607
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In some embodiments, the dynamic animation generation system can provide a deep learning framework to produce a large variety of martial arts movements in a controllable manner from unstructured motion capture data. The system can imitate animation layering using neural networks with the aim to overcome challenges when mixing, blending and editing movements from unaligned motion sources. The system can synthesize movements from given reference motions and simple user controls, and generate unseen sequences of locomotion, but also reconstruct signature motions of different fighters. For achieving this task, the dynamic animation generation system can adopt a modular framework that is composed of the motion generator, that maps the trajectories of a number of key joints and root trajectory to the full body motion, and a set of different control modules that map the user inputs to such trajectories.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.