Multi-touch Input Classification State Rewind Mechanism
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Multi-touch display devices face challenges in accurately classifying user inputs, often misclassifying incidental touches as intended touches, leading to incorrect responses from applications, which can disrupt user interactions and collaboration.
Innovation Solution
The system maintains a history of prior state information to detect and correct misclassifications by updating the classification of previous contacts and rewinding the touch-sensitive display state to reflect the correct classification, distinguishing between intended and incidental touches through analysis of contact relationships and patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the system classifies touches based on simple contact detection, then the response speed is fast, but the classification accuracy deteriorates leading to misclassification of incidental touches
Solution Approach 1:
The system performs preliminary actions by maintaining a history of prior state information and detecting misclassifications before they affect current operations. By anticipating and correcting classification errors proactively, the system improves accuracy without requiring complex real-time analysis of every touch event.
Solution Approach 2:
The system implements feedback mechanisms by detecting when a previous contact was incorrectly classified and updating the classification accordingly. This feedback loop allows the system to learn from past errors and correct them, improving overall classification accuracy while managing complexity through structured state management.
2Measurement precision
If the system maintains detailed history of prior states to correct misclassifications, then the input classification accuracy is improved, but the processing time increases
Solution Approach 1:
The system performs self-service by automatically detecting and correcting its own misclassifications using the maintained history. The state rewind mechanism allows the system to self-correct without external intervention, improving accuracy while minimizing the time overhead by processing corrections efficiently.
3Reliability
If the system rewinds state to correct classification errors, then the interaction reliability is improved, but the system complexity increases
Solution Approach 1:
The system segments the state management into discrete historical frames that can be individually managed and rewound. By dividing the complex state into manageable segments (prior state information, current state, corrected state), the system achieves reliable error correction while keeping the complexity manageable through structured organization.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for input classification for multi-touch systems. In one aspect, a method includes maintaining a history of prior state information related to a touch sensitive display. The method further includes detecting that a previous contact with the touch sensitive display was incorrectly classified. The method further includes updating a classification of the previous contact based on the detection that the previous contact was incorrectly classified. The method further includes rewinding a state of the touch sensitive display to reflect a state that would have resulted had the previous contact been correctly classified based on the history of prior state information and the updated classification of the previous contact.