Methods and apparatuses for low latency body state prediction based on neuromuscular data
US11327566B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 27, 2020 |
| Grant date | May 10, 2022 |
| Priority date | — |
| Expiry date | Nov 11, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F3/014
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The disclosed method may include receiving neuromuscular activity data over a first time series from a first sensor on a wearable device donned by a user receiving ground truth data over a second time series from a second sensor that indicates a body part state of a body part of the user, generating one or more training datasets by time-shifting at least a portion of the neuromuscular activity data over the first time series relative to the second time series, to associate the neuromuscular activity data with at least a portion of the ground truth data, and training one or more inferential models based on the one or more training datasets. Various other related methods and systems are also disclosed.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.