Tactile Input Device Location Error Correction
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Solution Overview
Problem
Tactile input devices, such as trackpads and touchscreens, often inaccurately determine the location of a user's finger or stylus due to their sensor grid systems, which can lead to inconsistent and inaccurate readings, especially when the contact is between gridlines.
Innovation Solution
Generating a table with location and pressure measurements from sliding a stylus across the device, allowing for the prediction and correction of actual locations by mapping measured readings to predicted values, thereby improving location accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a sensor grid system is used to determine contact location, then the device can detect touch inputs, but location accuracy deteriorates when contact is between gridlines
Solution Approach 1:
The system performs preliminary calibration by sliding a stylus across the tactile input device to measure and record location readings at multiple positions. These pre-collected data are stored in a lookup table that maps measured location readings to actual locations, enabling accurate location determination without complex real-time calculations during normal operation.
Solution Approach 2:
The patent creates a digital copy of the relationship between measured and actual locations through a lookup table. This table stores pairs of (measured location reading, actual location) data, allowing the system to query and retrieve accurate location information without physically redesigning the sensor grid or implementing complex correction algorithms.
2Measurement precision
If location readings are taken at multiple times during stylus sliding, then predicted location values can be determined, but measurement time increases
Solution Approach 1:
The calibration process is performed in advance during device setup or initialization. The system slides the stylus across the entire tactile input device, collecting location readings at multiple positions and times, storing this data in a lookup table. Once calibrated, the system can quickly determine actual locations by simply querying the pre-computed table during normal operation, avoiding the need for repeated time-consuming measurements.
Data Source
AI summary
A method may include measuring multiple location readings across a tactile input device at multiple times. The method may also include determining predicted location values corresponding to multiple locations across the tactile input device at the multiple measured times. The method may also include storing a table mapping the multiple location readings to the predicted location values.