Camera-guided interpretation of neuromuscular signals
US10842407B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 30, 2019 |
| Grant date | Nov 24, 2020 |
| Priority date | — |
| Expiry date | Aug 30, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30196
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Computerized systems, methods, and computer-readable storage media storing code for implementing the methods are provided for training an inference model used to generate a musculoskeletal representation. One such system includes a processor programmed to: determine, based on information obtained from at least one image, position information describing a spatial relationship between two or more connected musculoskeletal segments of a user; determine, based on a plurality of neuromuscular signals, force information; associate the position information with the force information; train an inference model to output a musculoskeletal representation consistent with the position information and/or the force information when neuromuscular input signals provided to the inference model have at least one predetermined characteristic, to produce an updated inference model; and cause the updated inference model to be stored in a memory.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.