Methods and apparatus for predicting musculo-skeletal position information using wearable autonomous sensors
US10990174B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 25, 2017 |
| Grant date | Apr 27, 2021 |
| Priority date | — |
| Expiry date | Dec 6, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F3/0487
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and apparatus for providing a dynamically-updated computerized musculo-skeletal representation comprising a plurality of rigid body segments connected by joints. The method comprises recording, using a plurality of autonomous sensors arranged on one or more wearable devices, a plurality of autonomous signals from a user, wherein the plurality of autonomous sensors include a plurality of neuromuscular sensors configured to record neuromuscular signals. The method further comprises providing as input to a trained statistical model, the plurality of neuromuscular signals and/or information based on the plurality of neuromuscular signals. The method further comprises determining, based on an output of the trained statistical model, musculo-skeletal position information describing a spatial relationship between two or more connected segments of the plurality of rigid body segments of the computerized musculo-skeletal representation, and updating the computerized musculo-skeletal representation based, at least in part, on the musculo-skeletal position information.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.