Apparatus and method for generating synthetic training data for motion recognition
US10685454B2 · kind B2 · utility
2Cited by
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19Claims
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Key dates
| Filing date | Nov 29, 2018 |
| Grant date | Jun 16, 2020 |
| Priority date | — |
| Expiry date | Nov 29, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T17/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An apparatus and method for generating synthetic training data for motion recognition. The method includes generating a three-dimensional (3D) human body model in real time according to motion of a human body, converting volume data of the 3D human body model into a 3D linear structure and extracting skeletal joint information, generating a data set of a human body image and skeletal joint information by rendering the 3D human body model and the skeletal joint information, and providing the data set of the image and the skeletal joint information as synthetic training data for motion recognition.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.