Methods and systems for automatically creating statistically accurate ergonomics data
US12287623B2 · kind B2 · utility
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13References
15Claims
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Key dates
| Filing date | Nov 5, 2018 |
| Grant date | Apr 29, 2025 |
| Priority date | — |
| Expiry date | May 13, 2041 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02P90/02
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The systems and methods provide an action recognition and analytics tool for use in manufacturing, health care services, shipping, retailing and other similar contexts. Machine learning action recognition can be utilized to determine cycles, processes, actions, sequences, objects and or the like in one or more sensor streams. The sensor streams can include, but are not limited to, one or more video sensor frames, thermal sensor frames, infrared sensor frames, and or three-dimensional depth frames. The analytics tool can provide for analyzing ergonomic data from the one or more sensor streams.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.