Abstract: A capacitive touch-sensor system comprises an electrode array coupled to an electromagnetic-noise source, a hardware interface, and associated output logic. The electrode array acquires sensory signal. The hardware interface exposes a touch-position output of the capacitive touch sensor. The output logic determines that an anomalous sensory electrode of the electrode array is proximate to a touchpoint, the anomalous sensory electrode providing an anomalous response to noise from the electromagnetic-noise source. Pursuant to determining that the anomalous sensory electrode is proximate to the touchpoint, the output logic identifies a non-anomalous sensory electrode of the electrode array which is usable to detect the noise. If an amplitude of the sensory signal from the non-anomalous sensory electrode exceeds a predetermined threshold, then the output logic invalidates the sensory signal for touchpoint resolution.

Abstract: An electronic device samples radiofrequency signals measured by multiple antennas positioned across the digitizer, wherein the radiofrequency signals include noise components. The electronic device selects an orthogonal frequency outside the defined bandwidth of the working frequency and removes at least some of the noise components from the radiofrequency signals measured by each antenna based at least on a sense signal measured at the orthogonal frequency by the each antenna.

Abstract: An electronic device samples radiofrequency signals measured by multiple antennas positioned across the digitizer, wherein the radiofrequency signals include noise components. The electronic device selects an orthogonal frequency outside the defined bandwidth of the working frequency and removes at least some of the noise components from the radiofrequency signals measured by each antenna based at least on a sense signal measured at the orthogonal frequency by the each antenna.

Abstract: A capacitive touch-sensor system comprises an electrode array coupled to an electromagnetic-noise source, a hardware interface, and associated output logic. The electrode array acquires sensory signal. The hardware interface exposes a touch-position output of the capacitive touch sensor. The output logic determines that an anomalous sensory electrode of the electrode array is proximate to a touchpoint, the anomalous sensory electrode providing an anomalous response to noise from the electromagnetic-noise source. Pursuant to determining that the anomalous sensory electrode is proximate to the touchpoint, the output logic identifies a non-anomalous sensory electrode of the electrode array which is usable to detect the noise. If an amplitude of the sensory signal from the non-anomalous sensory electrode exceeds a predetermined threshold, then the output logic invalidates the sensory signal for touchpoint resolution.

Abstract: A computing system includes a touch-sensitive display and one or more processors. The touch-sensitive display is configured to detect a run-time touch input from a user. The one or more processors are configured to execute instructions using portions of associated memory to implement a touch driver of the touch-sensitive display and an artificial intelligence model. The touch driver is configured to process the run-time touch input based on a plurality of calibration parameters and output a touch event and a plurality of run-time touch input parameters associated with the touch input event. The artificial intelligence model is configured to receive, as input, the run-time touch input parameters. Responsive to receiving the run-time touch input parameters, the artificial intelligence model is configured to output a personalized user touch driver profile including a plurality of updated calibration parameters for the touch driver.

Abstract: A computing system includes a touch-sensitive display and one or more processors. The touch-sensitive display is configured to detect a run-time touch input from a user. The one or more processors are configured to execute instructions using portions of associated memory to implement a touch driver of the touch-sensitive display and an artificial intelligence model. The touch driver is configured to process the run-time touch input based on a plurality of calibration parameters and output a touch event and a plurality of run-time touch input parameters associated with the touch input event. The artificial intelligence model is configured to receive, as input, the run-time touch input parameters. Responsive to receiving the run-time touch input parameters, the artificial intelligence model is configured to output a personalized user touch driver profile including a plurality of updated calibration parameters for the touch driver.

Abstract: A computing system includes a touch-sensitive display and one or more processors. The touch-sensitive display is configured to detect a run-time touch input from a user. The one or more processors are configured to execute instructions using portions of associated memory to implement a touch driver of the touch-sensitive display and an artificial intelligence model. The touch driver is configured to process the run-time touch input based on a plurality of calibration parameters and output a touch event and a plurality of run-time touch input parameters associated with the touch input event. The artificial intelligence model is configured to receive, as input, the run-time touch input parameters. Responsive to receiving the run-time touch input parameters, the artificial intelligence model is configured to output a personalized user touch driver profile including a plurality of updated calibration parameters for the touch driver.

Abstract: A computing system includes a touch-sensitive display and one or more processors. The touch-sensitive display is configured to detect a run-time touch input from a user. The one or more processors are configured to execute instructions using portions of associated memory to implement a touch driver of the touch-sensitive display and an artificial intelligence model. The touch driver is configured to process the run-time touch input based on a plurality of calibration parameters and output a touch event and a plurality of run-time touch input parameters associated with the touch input event. The artificial intelligence model is configured to receive, as input, the run-time touch input parameters. Responsive to receiving the run-time touch input parameters, the artificial intelligence model is configured to output a personalized user touch driver profile including a plurality of updated calibration parameters for the touch driver.