Systems, articles, and methods for gesture identification in wearable electromyography devices
US9367139B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 11, 2014 |
| Grant date | Jun 14, 2016 |
| Priority date | — |
| Expiry date | Dec 16, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F3/0346
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems, articles, and methods perform gesture identification with limited computational resources. A wearable electromyography (“EMG”) device includes multiple EMG sensors, an on-board processor, and a non-transitory processor-readable memory storing data and/or instructions for performing gesture identification. The wearable EMG device detects signals when a user performs a physical gesture and characterizes a signal vector {right arrow over (s)} based on features of the detected signals. A library of gesture template vectors G is stored in the memory of the wearable EMG device and a respective property of each respective angle θi formed between the signal vector {right arrow over (s)} and respective ones of the gesture template vectors {right arrow over (g)}i is analyzed to match the direction of the signal vector {right arrow over (s)} to the direction of a particular gesture template vector {right arrow over (g)}*. The accuracy of the gesture identification may be enhanced by performing multiple iterations across multiple time-synchronized portions of the EMG signal data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.