Hand gesture recognition based on detected wrist muscular movements
US12073028B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 24, 2023 |
| Grant date | Aug 27, 2024 |
| Priority date | — |
| Expiry date | Feb 24, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/28
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques of identifying gestures include detecting and classifying inner-wrist muscle motions at a user's wrist using micron-resolution radar sensors. For example, a user of an AR system may wear a band around their wrist. When the user makes a gesture to manipulate a virtual object in the AR system as seen in a head-mounted display (HMD), muscles and ligaments in the user's wrist make small movements on the order of 1-3 mm. The band contains a small radar device that has a transmitter and a number of receivers (e.g., three) of electromagnetic (EM) radiation on a chip (e.g., a Soli chip. This radiation reflects off the wrist muscles and ligaments and is received by the receivers on the chip in the band. The received reflected signal, or signal samples, are then sent to processing circuitry for classification to identify the wrist movement as a gesture.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.