Systems, devices, and methods for gesture identification
US10684692B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 22, 2017 |
| Grant date | Jun 16, 2020 |
| Priority date | — |
| Expiry date | Dec 22, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2218/12
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems, devices, and methods adapt established concepts from natural language processing for use in gesture identification algorithms. A gesture identification system includes sensors, a processor, and a non-transitory processor-readable memory that stores data and/or instructions for performing gesture identification. A gesture identification system may include a wearable gesture identification device. The gesture identification process involves segmenting signals from the sensors into data windows, assigning a respective “window class” to each data window, and identifying a user-performed gesture based on the corresponding sequence of window classes. Each window class exclusively characterizes at least one data window property and is analogous to a “letter” of an alphabet. Under this model, each gesture is analogous to a “word” made up of a particular combination of window classes.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.