Touch Device Threshold Compensation for Environmental Noise
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Solution Overview
Problem
Conventional touch devices face challenges in enhancing sensitivity due to environmental, temperature, and humidity-related noise signals, leading to errors in threshold determination.
Innovation Solution
A threshold compensation method that dynamically sets and updates the threshold based on sensing data differences across initializing frequency periods, using maximum, average, or median sensing data difference values to establish a default threshold, and adjusts it during touch operations to account for varying environmental conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the threshold is set to a relatively low value, then the sensitivity of the touch panel is improved, but noise signals caused by environmental factors, temperature and humidity lead to error actions
Solution Approach 1:
The patent applies dynamics by transitioning from a static, fixed threshold to a dynamic, adaptive threshold that automatically adjusts based on environmental conditions. The system continuously monitors environmental factors (temperature, humidity) and modifies the threshold accordingly, allowing the threshold to be low for high sensitivity during stable conditions but higher during noisy conditions to prevent error actions.
Solution Approach 2:
The patent changes the threshold parameter dynamically based on environmental conditions. By monitoring temperature and humidity parameters and adjusting the threshold value accordingly, the system optimizes sensitivity while preventing noise-induced errors. The threshold is no longer a fixed constant but varies as a function of environmental parameters.
2Reliability
If the threshold is set to a relatively high value, then error actions caused by noise signals are reduced, but the sensitivity of the touch panel becomes relatively low
Solution Approach 1:
The system dynamically adjusts the threshold based on real-time environmental monitoring. When environmental conditions indicate low noise levels, the threshold decreases to maximize sensitivity. When environmental conditions indicate high noise levels (extreme temperatures, humidity), the threshold increases to minimize error actions, thus resolving the contradiction between sensitivity and reliability.
Solution Approach 2:
The patent implements feedback by continuously monitoring environmental factors and using this information to adjust the threshold. The system feeds back environmental data to the threshold adjustment mechanism, creating a closed-loop system that optimizes both sensitivity and reliability based on actual environmental conditions.
3Device complexity
If a constant threshold is used, then the device complexity is reduced, but the ability to compensate for environmental effects on sensing data is insufficient
Solution Approach 1:
The system performs self-adjustment by automatically monitoring environmental conditions and modifying the threshold without external intervention. The touch panel system serves itself by using its own environmental sensors and processing capabilities to optimize the threshold, eliminating the need for complex external calibration procedures while achieving adaptive environmental compensation.
Solution Approach 2:
The patent applies preliminary action by proactively adjusting the threshold based on predicted or anticipated environmental conditions. The system monitors environmental factors in advance and pre-adjusts the threshold before noise-induced errors occur, rather than reacting after errors have happened. This proactive approach enables effective environmental compensation without adding significant complexity.
Data Source
AI summary
The disclosure provides a threshold compensation method applied to a touch device including a plurality of touch points. The threshold compensation method includes steps of: selecting at least one of the plurality of touch points as a selected object; obtaining a sensing data of each the touch point of the selected object in each of multiple initializing frequency periods; obtaining a sensing data difference value between the sensing data of each the touch point of the selected object in each adjacent two of the initializing frequency periods; obtaining a maximum sensing data difference value in the multiple sensing data difference values of the selected object in the multiple initializing frequency periods; and setting a default threshold of the selected object according to the maximum sensing data difference value.