Active Stylus Dynamic Signal Threshold Adjustment
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Solution Overview
Problem
Current touch-position sensors face challenges in accurately detecting the presence and location of objects, particularly due to noise interference and signal threshold adjustments, which can lead to incorrect signal processing and transmission in active stylus applications.
Innovation Solution
The implementation of a dynamic signal threshold adjustment method within the active stylus, using a control processor to compare received signals to adjustable thresholds based on signal-to-noise ratio and other characteristics, to differentiate between actual signals and noise, and a filtering mechanism to enhance signal processing and transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a fixed signal threshold is used in the active stylus, then the device complexity is reduced, but the measurement precision of signal detection deteriorates due to noise interference
Solution Approach 1:
The patent applies dynamics by transitioning from a fixed signal threshold to a dynamic threshold that automatically adjusts based on the measured noise level. The control processor continuously monitors the noise floor and adapts the threshold accordingly, allowing the system to maintain high measurement precision across varying environmental conditions without manual intervention.
Solution Approach 2:
The patent implements feedback by using the measured noise level to adjust the signal threshold. The control processor measures the noise floor, compares it against the current threshold, and modifies the threshold to maintain an optimal signal-to-noise ratio. This closed-loop feedback mechanism ensures accurate signal detection while automatically adapting to changing acoustic environments.
2Reliability
If the signal threshold is increased to reduce false triggering from noise, then the reliability of signal detection is improved, but the productivity of signal processing is reduced due to missed valid signals
Solution Approach 1:
The system dynamically adjusts the signal threshold based on real-time noise measurements rather than using a static high threshold. This allows the threshold to be high enough to reject noise during quiet periods but low enough to detect valid signals when they occur, maintaining both reliability and productivity without manual adjustment.
Solution Approach 2:
The control processor uses feedback from continuous noise level monitoring to automatically adjust the threshold. When noise levels are low, the threshold is set higher to reject false triggers; when noise levels increase, the threshold automatically lowers to prevent missing valid signals. This feedback-driven adaptation ensures both high reliability and maintained productivity.
3Measurement precision
If manual signal threshold adjustment is implemented, then the measurement precision can be optimized for specific conditions, but the ease of operation deteriorates due to requiring user intervention
Solution Approach 1:
The patent implements self-service by enabling the control processor to automatically measure the noise floor and adjust the signal threshold without user intervention. The system serves itself by continuously monitoring environmental noise and adapting its detection parameters, eliminating the need for manual threshold configuration while maintaining optimal measurement precision across different conditions.
Solution Approach 2:
The system performs preliminary action by measuring the noise level and establishing an appropriate threshold before actual signal detection begins. This pre-adjustment ensures the system is optimally configured for the current acoustic environment, eliminating the need for subsequent manual adjustments and maintaining ease of operation.
Data Source
AI summary
In one embodiment, a method includes receiving a signal at a stylus. The stylus is operable to wirelessly transmit signals to and receive signals from a device. The stylus includes a plurality of electrodes disposed in a tip of the stylus. The method includes determining a characteristic of the signal, and based at least in part on the characteristics of the signal, a threshold for determining whether to process signals received wirelessly from the device is dynamically adjusted.