Quantitative analysis method and system for attention based on line-of-sight estimation neural network
US12175704B2 · kind B2 · utility
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Key dates
| Filing date | Feb 25, 2022 |
| Grant date | Dec 24, 2024 |
| Priority date | — |
| Expiry date | Feb 26, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/25
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments of the present disclosure provide a quantitative method and system for attention based on a line-of-sight estimation neural network, which improves the stability and training efficiency of the line-of-sight estimation neural network. A few-sample learning method is applied to training of the line-of-sight estimation neural network, which improves generalization performance of the line-of-sight estimation neural network. A nonlinear division method for small intervals of angles of the line of sight is provided, which reduces an estimation error of the line-of-sight estimation neural network. Eye opening and closing detection is added to avoid the line-of-sight estimation error caused by an eye closing state. A method for solving a landing point of the line of sight is provided, which has high environmental adaptability and can be quickly used in actual deployment.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.