Methods for real-time skill assessment of multi-step tasks performed by hand movements using a video camera
US11093886B2 · kind B2 · utility
3Cited by
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13Claims
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Key dates
| Filing date | Nov 27, 2018 |
| Grant date | Aug 17, 2021 |
| Priority date | — |
| Expiry date | Jan 28, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/64
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Example implementations described herein are directed to systems and methods for skill assessment, such as hand washing compliance in hospitals, or assembling products in factories. Example implementations involve body part tracking (e.g., hands), skeleton tracking and deep neural networks to detect and recognize sub-tasks and to assess the skill on each sub-task. Furthermore, the order of the sub-tasks is checked for correctness. Beyond monitoring individual users, example implementations can be used for analyzing and improving workflow designs with multiple sub-tasks.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.