Touch Point Distribution Character Input Method
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Solution Overview
Problem
Conventional input methods for electronic devices, such as handwriting on touch panels and virtual keyboard interactions, are slow and inefficient for character input, limiting user speed and productivity.
Innovation Solution
A method and device that convert touch points into characters based on the number and position of touch points, using recognition units to generate touch point distributions and determine corresponding characters, allowing for quick and efficient input without the need for sequential key selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If handwriting input is used on touch panel, then character input is possible, but input speed is too slow
Solution Approach 1:
The patent segments character input into two distinct modes: handwriting mode for complex characters and pattern recognition mode for simple characters. This segmentation allows users to choose the most efficient method for each character type, improving overall input speed while maintaining ease of operation for all character types.
Solution Approach 2:
The system dynamically switches between different input recognition methods based on the detected touch pattern complexity. Simple touch patterns are recognized as complete characters instantly, while complex patterns are processed as handwriting. This dynamic adaptation optimizes input speed for different character types without compromising usability.
2Ease of operation
If virtual keyboard input is used, then character selection is possible, but input speed is limited due to sequential selection process
Solution Approach 1:
The patent pre-defines specific touch patterns that directly correspond to complete characters. Users can input characters by drawing these pre-defined patterns, and the system immediately recognizes the complete character without requiring sequential key selection or confirmation. This preliminary preparation of character patterns enables direct character input, dramatically improving input speed while maintaining ease of operation.
3Measurement precision
If complex stroke characters are input by handwriting, then complete character recognition is possible, but input time is excessively long
Solution Approach 1:
The patent segments the character recognition process into two pathways: a fast pathway for simple characters using pattern matching, and a complete pathway for complex characters using full handwriting recognition. This segmentation ensures that simple characters are recognized instantly with high accuracy, while complex characters receive the full recognition process, optimizing both speed and accuracy for different character types.
Solution Approach 2:
For simple characters, the system uses partial action by recognizing only the essential touch pattern without requiring complete handwriting strokes. This partial recognition approach maintains high accuracy for simple characters while dramatically reducing input time. The system applies excessive action (full handwriting recognition) only when necessary for complex characters.
Data Source
AI summary
The disclosure is related to a method, a touch device and a computer program product for converting touch points into characters. In particular, through an input interface, the converting method can be applied to the touch device and the computer program product. The converting method for example includes the following steps of: sensing at least one touch point triggered by a user on the input interface to obtain touch point number information and touch point position information; generating a touch point distribution of the sensed touch point(s) according to the touch point number information and the touch point position information; and determining an input character according to the touch point distribution.