Capacitive Sensor Noise Error Detection via Temporal Data Analysis
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Solution Overview
Problem
Capacitive sensors used in touch panels are susceptible to electromagnetic noise, leading to erroneous detection of object coordinates and contact states due to the small changes in capacitance caused by object approach, resulting in detection errors.
Innovation Solution
An input device with a sensor unit that periodically generates detection data across multiple positions on a detection surface, an error determination unit that assesses temporal and positional changes in the data, and a data acquisition unit that skips data acquisition in cycles determined to be noisy, reducing the influence of noise-induced errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a capacitive sensor is configured to sensitively detect object approach, then detection sensitivity is improved, but susceptibility to electromagnetic noise increases causing detection errors
Solution Approach 1:
The sensor control unit controls the sensor unit to perform periodic detection operations, generating detection data in multiple positions in every cycle. This periodic operation allows for temporal comparison of detection data to identify noise-induced errors while maintaining sensitive detection capability.
Solution Approach 2:
The error determination unit determines whether there is an error in detection operation based on temporal change degree and positional change degree of detection data. When an error is detected, the detection data acquisition unit skips acquiring data from that cycle, providing feedback-based error correction that maintains detection reliability without sacrificing sensitivity.
2Productivity
If detection data is acquired in every cycle, then detection continuity is improved, but noise-induced errors are propagated
Solution Approach 1:
The error determination unit continuously monitors detection data for errors by comparing temporal and positional changes. When an error is identified, the system selectively skips acquiring data from that specific cycle while continuing normal operation in subsequent cycles, thus maintaining overall detection continuity while preventing error propagation.
Solution Approach 2:
The system dynamically adjusts the data acquisition process based on error detection results. By conditionally skipping data acquisition in specific cycles where errors are detected while maintaining acquisition in other cycles, the system optimizes the balance between continuity and accuracy through parameter-based control.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Accurately determines noise-induced errors by analyzing temporal and positional changes in detection data, thereby effectively reducing detection errors and improving the reliability of object detection.
Implementation Method 1
a sensor that detects a change in capacitance can detect approach of an object (for example, a finger or a pen)
Data Source
AI summary
A degree of approach of an object in positions of a detection surface is periodically detected by a sensor unit, a group of detection data items indicating a result of the detection is generated in every one of cycles. The group of detection data items generated in the sensor unit is acquired in every one of cycles by a detection data acquisition unit. In the error determination unit, it is determined in every one of cycles whether there is an error in the detection operation due to noise based on a degree of a temporal change and a degree of a positional change in the detection data. When it is determined by the error determination unit that there is an error in the detection operation of one cycle, a process of acquiring the detection data generated in the one cycle is skipped in the detection data acquisition unit.