Pen-Based Input System for Hand-Drawn Symbol Recognition
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Solution Overview
Problem
Current input systems for computing devices lack efficient methods for users to program action sequences using hand-drawn symbols, particularly for gaming and other applications, and face challenges in overcoming language barriers.
Innovation Solution
A pen-based input system that utilizes a predefined set of simplified logographs, pictographs, and ideographs to detect and interpret hand-drawn symbols, allowing users to program action sequences by structuring inputs into a symbol topology structure and using a symbol library for recognition and execution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional input methods (keyboard, mouse) are used, then input accuracy is maintained, but user creativity and intuitive expression are limited
Solution Approach 1:
The input field is segmented into multiple quadrants, each representing different symbol categories (logographs, pictographs, ideographs). Users can selectively draw in specific quadrants based on the type of symbol needed, making the complex input process more manageable and intuitive.
Solution Approach 2:
The system introduces an intermediary layer between the user's drawing and the final input. The symbol recognition engine acts as a mediator that translates hand-drawn symbols into actionable commands, bridging the gap between intuitive drawing and precise input.
2Adaptability or versatility
If hand-drawn symbol recognition is implemented, then language barrier is overcome, but recognition accuracy may be compromised
Solution Approach 1:
The system supports multiple symbol systems (logographs, pictographs, ideographs) within a single unified interface. This multi-functionality allows users to draw symbols in their native language or preferred style while the system universally recognizes and processes them, overcoming language barriers without sacrificing accuracy.
Solution Approach 2:
The system provides real-time feedback by displaying the recognized symbol after drawing. This feedback mechanism allows users to correct their drawings if necessary and builds confidence in the recognition accuracy, while also helping users learn the symbol system over time.
3Adaptability or versatility
If action sequence programming is enabled, then user creativity is enhanced, but input time increases
Solution Approach 1:
The system pre-organizes symbols into structured quadrants and provides a template framework for action sequence programming. Users can quickly select from pre-categorized symbols and follow the established structure, reducing the time needed to create complex action sequences while maintaining high creativity.
4Ease of operation
If simplified symbols are used, then ease of drawing is improved, but symbol differentiation may be reduced
Solution Approach 1:
The symbol field is divided into four distinct quadrants, each containing symbols of a specific type. This segmentation allows simplified drawing within each category while maintaining clear differentiation between symbol types through spatial separation, resolving the contradiction between simplicity and differentiation.
Data Source
AI summary
According to one example embodiment there is disclosed a system having a touch sensitive component responsive to a pen-based input includes a memory or storage device storing a symbol library defining at least one symbol representative of at least one logograph, pictograph or ideogram, the symbol library information specifying a topology structure defining sub-regions that symbol elements can appear in the at least one logograph, pictograph or ideogram, and a processor operatively connected to the touch sensitive component and the memory or storage device and operative to execute program instructions to interpret hand drawn indicia to identify at least one symbol based on recognizing at least one symbol element and its respective position in a sub-region.