Handwriting Capture Device Page Separation via Shape Recognition
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Solution Overview
Problem
Users often forget to press the navigation button on handwriting capture devices, causing multiple pages of questionnaire data to be merged into one digital page, leading to indecipherable and unusable data, and existing solutions either rely on user input for page numbering or require complex, bulky devices for graphical user interfaces.
Innovation Solution
A processor-based method that detects the shapes of writings on a capture device and compares them to stored shapes to identify and separate data from multiple pages, using shape recognition techniques to accurately map and store questionnaire answers to their respective pages without user intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a navigation button is provided on the capture device for users to press when starting a new page, then page separation can be achieved, but users often forget to press the button resulting in merged pages and data loss
Solution Approach 1:
The system automatically detects page transitions by analyzing shape patterns in the captured data without requiring user intervention. The processor identifies when a new page begins by recognizing specific shape characteristics, eliminating the need for users to manually press navigation buttons and ensuring reliable page separation.
Solution Approach 2:
The system provides automatic feedback by analyzing the captured shape data and determining page boundaries based on predefined shape patterns. This feedback mechanism allows the system to self-correct and accurately separate pages without relying on user memory or manual input.
2Loss of information
If a page number field is provided on the questionnaire for users to write in, then page identification can be achieved, but users often forget to write the number or write the wrong number and recognition programs may fail to correctly recognize it
Solution Approach 1:
The system automatically identifies pages by detecting shape patterns in the captured data without requiring users to manually write page numbers. The processor analyzes the shape characteristics and automatically assigns page identifiers, eliminating errors associated with manual input and recognition.
Solution Approach 2:
The system extracts page identification information from the shape patterns themselves rather than relying on separate user-inputted page numbers. By taking out the page identification function from manual input and embedding it in the shape analysis process, the system achieves more reliable page separation.
3Loss of information
If graphical user interfaces are provided to display questionnaires and automatically record page numbers, then page identification can be achieved, but more complex and bulky input/output devices are required that are expensive and too bulky for field surveys
Solution Approach 1:
The patent extracts the page identification function from complex graphical user interface systems and implements it through simple shape pattern analysis in the captured data. This allows page identification to be achieved using the basic capture device without requiring additional bulky display or processing hardware.
Solution Approach 2:
The system replaces complex mechanical and software-based graphical interface systems with a simpler shape analysis algorithm. By substituting the complex GUI approach with direct shape pattern recognition in the captured data, the system achieves page identification using only the basic capture device functionality.
Data Source
AI summary
A method and system for identifying multiple questionnaire pages. An embodiment of a method includes receiving a set of coordinates from a capture device, the set of coordinates indicating shapes made on multiple pages of a questionnaire without the use of a graphical user interface, and mapping each shape to a questionnaire answer on a different page. The method enables a processor to accurately and quickly determine which answers were entered on each questionnaire page attached to the capture device, without relying on the user to do so. Exemplary applications include a field survey and inventory.