Baseline update for input object detection
AssigneeSynaptics Incorporated
InventorsKatherine Kuan, Nickolas Fotopoulos
Life of this patent
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Abstract
Baseline update for input object detection includes determining raw measurements from resulting signals acquired for a sensing region, obtaining a masked region of the sensing region based on the raw measurements, and generating a baseline update value using a subset of the raw measurements corresponding to an unmasked region. A baseline value of the masked region is updated using the baseline update value to obtain an updated baseline. A location of an input object is detected using the updated baseline.
Claims19
1-20. (canceled)
A processing system comprising:
- a processing circuitry configured to:
- determine a first plurality of raw measurements from a plurality of resulting signals acquired for a sensing region,
- generate a plurality of delta measurements based on the first plurality of raw measurements and baseline values of a previous frame, and
- add a first mask location to a masked region of the sensing region based on one or more of the delta values in the plurality of delta values being greater than a specified threshold,
- generate a baseline update value using a subset of the first plurality of raw measurements corresponding to an unmasked region of the sensing region, the unmasked region and the masked region being concurrently existing locations in the sensing region,
- update a baseline value of the masked region using the baseline update value to obtain an updated baseline, and
- detect a location of an input object using the updated baseline.
A method comprising:
- determining a first plurality of raw measurements from a plurality of resulting signals acquired for a sensing region;
- generating a plurality of delta measurements based on the first plurality of raw measurements and baseline values of a previous frame;
- and
- adding a first mask location to a masked region of the sensing region based on one or more of the plurality of delta values being greater than a specified threshold;
- generating a baseline update value using a subset of the first plurality of raw measurements corresponding to an unmasked region of the sensing region, the unmasked region and the masked region are concurrently existing locations in the sensing region;
- updating a baseline value of the masked region using the baseline update value to obtain an updated baseline;
- and
- detecting a location of an input object using the updated baseline.
An input device comprising:
- a plurality of sensor electrodes;
- and
- a processing system operatively connected to the sensor electrodes and configured to:
- drive the plurality of sensor electrodes,
- acquire, from the plurality of sensor electrodes and based on driving the plurality of sensor electrodes, a plurality of resulting signals of a sensing region,
- determine a first plurality of raw measurements from the plurality of resulting signals,
- generate a plurality of delta measurements based on the first plurality of raw measurements and baseline values of a previous frame, and
- add a first mask location to a masked region of the sensing region based on one or more of the delta values in the plurality of delta values being greater than a specified threshold,
- generate a baseline update value using a subset of the first plurality of raw measurements corresponding to an unmasked region of the sensing region, the unmasked region and the masked region are concurrently existing locations in the sensing region,
- update a baseline value of the masked region using the baseline update value to obtain an updated baseline, and
- detect a location of an input object using the updated baseline.
Dependencies are inferred from the claim text.