Online detection and classification of dynamic gestures with recurrent convolutional neural networks
US10157309B2 · kind B2 · utility
12Cited by
3References
20Claims
0Family size
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Key dates
| Filing date | Jan 9, 2017 |
| Grant date | Dec 18, 2018 |
| Priority date | — |
| Expiry date | Feb 23, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/28
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method, computer readable medium, and system are disclosed for detecting and classifying hand gestures. The method includes the steps of receiving an unsegmented stream of data associated with a hand gesture, extracting spatio-temporal features from the unsegmented stream by a three-dimensional convolutional neural network (3DCNN), and producing a class label for the hand gesture based on the spatio-temporal features.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.