Methods and apparatus for cross-coupling correction on a touch sensor panel
US11620021B1 · kind B1 · utility
1Cited by
3References
23Claims
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Key dates
| Filing date | Sep 14, 2020 |
| Grant date | Apr 4, 2023 |
| Priority date | — |
| Expiry date | Sep 14, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F3/0412
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Cross-coupling correction techniques on a touch sensor panel can be improved using machine learning models (particularly for touch sensor panels with relatively low signal-to-noise ratio). In some examples, the machine learning model can be implemented using a neural network. The neural network can receive a touch image and perform cross-coupling correction to mitigate cross-talk due to routing traces of the touch sensor panel. Mitigating cross-talk can improve touch sensing accuracy, reduce jitter, and/or reduce false positive touch detection.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.