Machine-learning based gesture recognition
US11704592B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 23, 2020 |
| Grant date | Jul 18, 2023 |
| Priority date | — |
| Expiry date | Jan 15, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04R2430/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The subject technology receives, from a first sensor of a device, first sensor output of a first type. The subject technology receives, from a second sensor of the device, second sensor output of a second type, the first and second sensors being non-touch sensors. The subject technology provides the first sensor output and the second sensor output as inputs to a machine learning model, the machine learning model having been trained to output a predicted touch-based gesture based on sensor output of the first type and sensor output of the second type. The subject technology provides a predicted touch-based gesture based on output from the machine learning model. Further, the subject technology adjusts an audio output level of the device based on the predicted gesture, and where the device is an audio output device.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.