Synaptics Corporation

Chia-Yun Kuan

Shwetank Kumar

Matthew A Stevenson

John Weinerth

Sanjay Mani

Input devices described herein include sensing regions that permit the device to identify a location of input objects along a side of the device. To perform gesture detection, an input device selects baseline signals which are subtracted from capacitive sensing signals captured using the sensor electrodes in the sensing region. Doing so results in delta signals that represent the difference between the capacitive sensing signals and the baseline signals. In one embodiment, the baseline signals are selected from capacitive sensing signals received during previous capacitive frames. In one example, the input device uses the capacitive sensing signals received during the Nth previous capacitive frame as the baseline signals. Alternatively, the input device may determine which frame has capacitive sensing signals that vary the most from the current sensing signals and use that frame as the baseline.

Dynamic differential algorithm for side touch signals

Techniques for detecting noise with a capacitive sensing device. The includes driving a set of one or more sensor electrodes of a plurality of sensor electrodes with a sensing signal at a first frequency, receiving resulting signals based on the sensing signal for each of the one or more sensor electrodes driven, probing the set of one or more sensor electrodes to obtain a set of probing signals, and summing the probing signals of the set of probing signals to generate a noise-analysis signal.

Real-time spectral noise monitoring for proximity sensing device

A processing system for an input device includes a sensor module and a determination module. The sensor module includes sensor circuitry coupled to transmitter electrodes and receiver electrodes. The sensor module is configured to transmit transmitter signals with the transmitter electrode and receive resulting signals with the receiver electrodes. The determination module is configured to obtain a set of measurements for an input object detected in a sensing region of the input device from a capacitive image, and perform, based on the set of measurements, a multistage classification to obtain a classification result identifying a type of the input object. wherein the capacitive image is generated based on the resulting signals.

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Sunnyvale, CA, United States of America

Chia-Yun Kuan