Touch Panel Failure Detection via Statistical Sensitivity Adjustment
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Solution Overview
Problem
Existing input interface devices, such as touch panels, face challenges in detecting failures due to sensitivity issues, where high sensitivity can lead to false touch detection and low sensitivity can result in missed touches, making it difficult to determine abnormal states accurately.
Innovation Solution
A failure detection device and method that utilize a controller to acquire position information, calculate determination counts, and adjust touch sensitivity based on statistical analysis of touch data to determine if an input interface device is in an abnormal state, thereby correcting sensitivity issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high sensitivity is set for touch detection, then touch responsiveness is improved, but false touch detection occurs
Solution Approach 1:
The patent applies dynamics by making the sensitivity threshold adjustable and adaptive rather than fixed. The controller dynamically adjusts the determination threshold for touch detection based on statistical analysis of touch position data, allowing the system to optimize between responsiveness and false detection prevention under different operating conditions
Solution Approach 2:
The patent changes the parameter of sensitivity threshold from a fixed value to a dynamically adjustable parameter. By modifying the determination threshold based on statistical characteristics of touch data (such as standard deviation of touch positions), the system can adapt the sensitivity level to prevent false detections while maintaining accurate touch response
2Object-generated harmful factors
If low sensitivity is set for touch detection, then false touch detection is reduced, but missed touches occur
Solution Approach 1:
The patent implements feedback by continuously monitoring touch position data and using statistical analysis to adjust the determination threshold. The system feeds back the statistical characteristics (mean, standard deviation) of touch positions to dynamically modify the sensitivity threshold, ensuring that the threshold adapts to maintain both false detection prevention and accurate touch detection
Solution Approach 2:
The system dynamically adjusts the sensitivity threshold based on real-time statistical analysis of touch data rather than using a fixed threshold. This dynamic adjustment allows the system to respond to changing touch patterns and maintain optimal detection accuracy while preventing false detections
3Device complexity
If fixed sensitivity threshold is used, then device complexity is reduced, but detection accuracy under varying conditions deteriorates
Solution Approach 1:
The patent applies self-service by enabling the system to automatically adjust its own sensitivity threshold based on statistical analysis of its own touch data. The controller performs self-diagnosis and self-calibration by calculating statistical parameters from accumulated touch positions and autonomously modifying the determination threshold without external intervention
Solution Approach 2:
The system uses feedback from statistical analysis of touch position data to automatically adjust the sensitivity threshold. By continuously monitoring the distribution of touch positions and feeding back the statistical characteristics to the threshold setting, the system maintains high detection accuracy across varying operating conditions without requiring complex manual calibration
Data Source
AI summary
A failure detection device according to the present disclosure is a failure detection device that detects a failure of an input interface device detecting a position on a screen, the position being selected by an input operation. The failure detection device includes a memory, and a controller connectable to the input interface device. The controller acquires position information of a predetermined selected region on a screen, calculates a counted number of determinations that the predetermined selected region is not present on a selected position on the screen, and determines that an input interface device is in an abnormal state in a case where the counted number satisfies a predetermined condition.