Stylus Input Recognition via Adaptive Threshold Adjustment
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Solution Overview
Problem
Electronic devices with touch screens face input issues due to variations in resonant frequency of signals from stylus pens, leading to deviations in input recognition, which affect user experience.
Innovation Solution
An electronic device with a processor and memory that detects and corrects deviations in resonant frequency, adaptively adjusts threshold values to recognize inputs from stylus pens, distinguishing between touch and hovering inputs based on signal phase and location data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a fixed threshold value is used for recognizing stylus pen inputs, then the device complexity is reduced, but the measurement precision of input recognition deteriorates due to resonant frequency deviations
Solution Approach 1:
The patent implements dynamic threshold adjustment by continuously adapting the threshold value based on the actual resonant frequency of the stylus pen. Instead of using a fixed threshold, the system dynamically modifies the threshold to match the detected resonant frequency characteristics, thereby maintaining high input recognition accuracy across different stylus devices while managing complexity through adaptive algorithms.
Solution Approach 2:
The system changes the threshold parameter based on measured resonant frequency deviations. By detecting the actual resonant frequency of the stylus pen and adjusting the threshold parameter accordingly, the system compensates for manufacturing variations and device-specific characteristics, ensuring accurate input recognition without requiring overly complex hardware configurations.
2Device complexity
If the resonant frequency deviation is not corrected, then the device complexity remains low, but the reliability of input recognition deteriorates
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously monitors the resonant frequency of the stylus pen and uses this information to adjust the recognition threshold. The feedback loop compares the detected resonant frequency with the expected frequency and dynamically adjusts the threshold to maintain reliable input recognition, ensuring that the system adapts to different stylus devices without requiring complex manual calibration.
Solution Approach 2:
The system performs self-calibration by automatically detecting the resonant frequency characteristics of the connected stylus pen and adjusting its own threshold parameters accordingly. This self-service approach eliminates the need for manual calibration or complex external calibration equipment, maintaining low device complexity while achieving high reliability through automatic adaptation to each stylus device's unique characteristics.
3Measurement precision
If the threshold value is adaptively adjusted based on signal phase, then the measurement precision of input type classification is improved, but the device complexity increases
Solution Approach 1:
The system dynamically adjusts the threshold value based on the phase information of the received signal. By making the threshold adaptive rather than fixed, the system can accurately classify different input types (such as hovering versus touching) even when resonant frequency varies between different stylus pens. The dynamic adjustment is achieved through algorithms that process phase data in real-time, balancing improved classification accuracy with computational efficiency.
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
Enhances the sense of writing by accurately identifying and processing inputs from stylus pens, providing improved user interaction by reducing misrecognition and enhancing input precision.
Implementation Method 1
The resonant frequency of a signal received from the input tool may vary depending on numerous factors
Data Source
AI summary
Disclosed is an electronic device including a housing, a display panel which is viewable via a part of the housing, and is configured to detect an input by a stylus pen, a processor operatively connected to the display panel, and a memory operatively connected to the processor, wherein the memory is configured to store instructions which, when executed, enable the processor to receive a signal from the stylus pen via the display panel, determine a strength of the signal, a first phase of the signal, and a location of an input by the stylus pen based on at least the received signal, and adjust a threshold value used for determining a type of an input by the stylus pen based on at least the first phase.