Human gesture recognition for autonomous aircraft operation
US12014574B2 · kind B2 · utility
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40Claims
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Key dates
| Filing date | Oct 25, 2021 |
| Grant date | Jun 18, 2024 |
| Priority date | — |
| Expiry date | Oct 15, 2042 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB64U2201/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method, apparatus, system, and computer program product for training a gesture recognition machine learning model system. Temporal images for a set of gestures used for ground operations for an aircraft are identified by a computer system. Pixel variation data identifying movement on a per image basis from the temporal images is generated by the computer system. The temporal images and the pixel variation data form training data. A set of feature machine learning models is trained by the computer system to recognize features using the training data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.