17808278. TOUCHSCREEN SENSOR CALIBRATION USING ADAPTIVE NOISE CLASSIFICATION simplified abstract (Microsoft Technology Licensing, LLC)

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TOUCHSCREEN SENSOR CALIBRATION USING ADAPTIVE NOISE CLASSIFICATION

Organization Name

Microsoft Technology Licensing, LLC

Inventor(s)

Hanan Grinberg of Ramat-Gan (IL)

Oren Istrin of Tel Aviv (IL)

Hadas Ruas of Netanya (IL)

Nadav Linenberg of Even Yehuda (IL)

Anton Gorbanev of Kiryat Ono (IL)

TOUCHSCREEN SENSOR CALIBRATION USING ADAPTIVE NOISE CLASSIFICATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 17808278 titled 'TOUCHSCREEN SENSOR CALIBRATION USING ADAPTIVE NOISE CLASSIFICATION

Simplified Explanation

The abstract describes a method for calibrating the noise level of a touchscreen interface on a computing device. The method involves identifying antenna regions with high and low energy signal levels, discarding signal level information from high energy regions, and determining the noise level based on signals from low energy regions. The digitizer is then calibrated by reducing the energy levels of signals in all antenna regions by the determined noise level.

  • The method actively and adaptively calibrates the base noise level of a touchscreen interface.
  • Antenna regions forming the digitizer are allocated and categorized based on signal energy levels.
  • High energy antenna regions are identified and their signal level information is discarded.
  • The noise level caused by electrical components of the computing device is determined using low energy antenna regions.
  • The digitizer is calibrated by reducing the energy levels of signals in all antenna regions by the determined noise level.

Potential Applications

  • Touchscreen devices such as smartphones, tablets, and laptops could benefit from improved noise calibration.
  • This technology could be applied to various industries that utilize touchscreen interfaces, such as automotive, healthcare, and gaming.

Problems Solved

  • Touchscreen interfaces often suffer from noise interference, which can affect accuracy and responsiveness.
  • Existing calibration methods may not effectively account for varying noise levels in different antenna regions.
  • This technology solves the problem of accurately calibrating the noise level of a touchscreen interface by dynamically identifying and discarding high energy signal regions.

Benefits

  • Improved accuracy and responsiveness of touchscreen interfaces.
  • Enhanced user experience with reduced noise interference.
  • Increased reliability and performance of touchscreen devices.
  • Adaptability to different noise levels in different antenna regions.


Original Abstract Submitted

A base noise level of a touchscreen interface for a computing device is actively and adaptively calibrated. Antenna traces forming a digitizer of the touchscreen interface are allocated into antenna regions. Antenna regions with high energy signal levels and antenna regions with low energy signal levels are identified. Signal level information from high energy antenna regions is discarded. A noise level, caused by electrical components of the computing device, is determined within signals generated in the antenna traces based at least in part upon the low energy antenna regions. The digitizer is calibrated by reducing energy levels of signals carried by the antenna traces in all antenna regions by the noise level.