Professional dance evaluation method for implementing human pose estimation based on deep transfer learning
US11823496B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 6, 2021 |
| Grant date | Nov 21, 2023 |
| Priority date | — |
| Expiry date | Feb 1, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30196
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present invention provides a professional dance evaluation method for implementing Human Pose Estimation based on Deep Transfer Learning. First of all, the Transfer Learning principle of deep learning is combined with the pose features of professional dance training to build a Human Pose Estimation model. Afterwards, the video of demonstration dancing actions is collected and imported into the Human Pose Estimation model to obtain the time-dependent body keypoint data as the reference standard for evaluation. Finally, the video of the examinee's dancing actions is collected and imported into the Human Pose Estimation model to obtain the body keypoint data of the examinee's dancing actions, the similarity between it and the reference standard for evaluation is used for evaluating the standard level of dancing pose.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.