Sensor Driver Signal Segmentation for Input Coordinate Accuracy
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Solution Overview
Problem
Current electronic devices face challenges in accurately detecting the position of active inputs, such as those from pens, due to noise interference, which affects the precision and accuracy of input coordinates.
Innovation Solution
The electronic device incorporates a sensor driver that selectively switches between modes for passive and active input detection, using a higher sampling frequency and signal processing techniques to differentiate valid signals from noise, and corrects intermediate coordinates based on noise signals to improve accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If noise signal filtering is applied to improve input coordinate accuracy, then measurement precision is improved, but device complexity increases due to additional signal processing steps
Solution Approach 1:
The sensing signals are segmented into valid signals and noise signals through comparative analysis. The sensor driver divides the plurality of sensing signals by comparing each signal with a reference value, separating meaningful input data from noise interference, thereby improving coordinate accuracy without requiring complex external filtering hardware
Solution Approach 2:
The patent applies partial action by selectively processing only those sensing signals that exceed a predetermined threshold. Instead of processing all signals equally, the system identifies and processes only the valid signals that contain meaningful input information, reducing unnecessary computational overhead while maintaining accuracy
Solution Approach 3:
The coordinate correction unit uses feedback from the noise signal analysis to adjust and correct the intermediate input coordinates. By continuously comparing processed coordinates with expected ranges and applying corrections based on noise characteristics, the system refines accuracy through iterative feedback without adding complex external control systems
2Measurement precision
If intermediate coordinates are corrected based on noise signals, then measurement precision is improved, but loss of information increases due to additional signal transformations
Solution Approach 1:
The system performs preliminary separation of valid and noise signals before coordinate calculation. By pre-identifying and isolating valid signals through comparison with reference values, the system prepares clean input data for coordinate computation, preventing information loss that would occur if noise were mixed into the calculation process
Solution Approach 2:
The patent introduces an intermediate coordinate calculation step that serves as a mediator between raw sensing signals and final corrected coordinates. This intermediate representation allows the system to apply noise correction algorithms while preserving the essential input information, acting as a buffer that prevents direct information loss during signal transformation
Data Source
AI summary
An electronic device includes: a display layer to display an image; a sensor layer on the display layer; and a sensor driver electrically connected with the sensor layer, and to be selectively driven in a first mode for detecting a passive input, or a second mode for detecting an active input. In the second mode, the sensor driver is to: receive a plurality of sensing signals from the sensor layer; divide the plurality of sensing signals into a valid signal and a noise signal; calculate intermediate coordinates based on the valid signal; and correct the intermediate coordinates based on the noise signal to calculate input coordinates.