AI Touch Driver Calibration for Personalized Input Accuracy
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Solution Overview
Problem
Existing computing systems fail to personalize touch input parameters for individual user preferences and characteristics, leading to inconsistent and inefficient human-computer interactions, particularly in systems with touch-sensitive displays.
Innovation Solution
A computing system equipped with a touch-sensitive display and an artificial intelligence model that processes run-time touch inputs to generate personalized user touch driver profiles, using neural networks to adjust calibration parameters based on user-specific touch input characteristics, and incorporates feedback mechanisms to refine these profiles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If a universal touch driver is used for all users, then device complexity is reduced and ease of manufacture is improved, but touch input accuracy and user experience deteriorate due to lack of personalization
Solution Approach 1:
The patent segments the user base into different clusters based on touch input characteristics, and creates customized touch driver profiles for each cluster. This segmentation allows the system to maintain multiple specialized profiles rather than a single universal driver, resolving the contradiction between manufacturing simplicity and measurement precision by organizing complexity in a structured, manageable way.
Solution Approach 2:
The patent implements dynamic adaptation where the touch driver profile is automatically selected and adjusted based on real-time analysis of user touch characteristics. The system dynamically transitions between different profiles or adjusts parameters within profiles, enabling the touch driver to adapt to individual users without requiring manual reconfiguration, thus maintaining accuracy while managing complexity through automation.
2Measurement precision
If personalized touch profiles are created for each user, then touch input accuracy and user experience are improved, but device complexity and processing requirements increase
Solution Approach 1:
The patent applies partial personalization by creating touch driver profiles at the cluster level rather than for every individual user. This partial action approach provides sufficient personalization to achieve high accuracy while avoiding the excessive complexity of fully individualized profiles. The system processes touch data to identify cluster characteristics and applies cluster-level adjustments, which reduces computational burden while maintaining effectiveness.
Solution Approach 2:
The system performs self-service by automatically analyzing touch input patterns and generating personalized profiles without requiring manual user input or configuration. The touch driver autonomously adapts to user characteristics by processing touch data and adjusting parameters, which reduces the operational complexity and automation burden on the system while achieving high measurement precision.
3Measurement precision
If touch calibration is performed manually for each user, then touch input accuracy is improved, but time consumption and productivity are reduced
Solution Approach 1:
The patent performs preliminary action by pre-processing touch input data to identify user characteristics and generate personalized profiles automatically before actual use. The system analyzes touch patterns and creates calibrated profiles in advance, eliminating the need for time-consuming manual calibration sessions. This preliminary automated analysis achieves high touch input accuracy while minimizing time loss during user setup.
Solution Approach 2:
The patent replaces the mechanical manual calibration process with an automated computational system that analyzes touch data and generates profiles algorithmically. Instead of requiring users to manually perform calibration tasks, the system uses software-based analysis and automatic profile generation, which maintains high accuracy while dramatically reducing the time and effort required for calibration.
4Ease of operation
If generic touch processing parameters are used, then ease of operation is maintained, but adaptability to different user characteristics deteriorates
Solution Approach 1:
The patent achieves universality by creating a multi-functional touch driver system that can serve multiple user types through cluster-based profiles. The system maintains a set of standardized profiles that can be automatically selected based on user characteristics, providing adaptability to different users while preserving ease of operation. The unified profile selection mechanism allows the system to adapt to various user preferences without requiring complex manual configuration or different operational procedures.
Data Source
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AI summary
A computing system includes a touch-sensitive display and one or more processors. The touch-sensitive display is configured to detect a run-time touch input from a user. The one or more processors are configured to execute instructions using portions of associated memory to implement a touch driver of the touch-sensitive display and an artificial intelligence model. The touch driver is configured to process the run-time touch input based on a plurality of calibration parameters and output a touch event and a plurality of run-time touch input parameters associated with the touch input event. The artificial intelligence model is configured to receive, as input, the run-time touch input parameters. Responsive to receiving the run-time touch input parameters, the artificial intelligence model is configured to output a personalized user touch driver profile including a plurality of updated calibration parameters for the touch driver.