Augmented reality deep gesture network
US11776242B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Jun 14, 2019 |
| Grant date | Oct 3, 2023 |
| Priority date | — |
| Expiry date | Jun 14, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/107
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer implemented method for recognizing a hand gesture using a random forest model includes training the random forest model. The method also includes obtaining image data. The method further includes clustering a plurality of pixels from the image data to generate a plurality of clusters. Moreover, the method includes analyzing the plurality of clusters using a rejection cascade to generate a plurality of selected candidates. In addition, the method includes analyzing the plurality of selected candidates using a classification decision tree from the random forest model. The method also includes skeletonizing the plurality of selected candidates to generate a one dimension plus branches hand model. The method further includes analyzing the one dimension plus branches hand model using a regression decision tree from the random forest model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.