Quadrant Array Line Comparison Method
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Solution Overview
Problem
Current automated computer-based verification systems for comparing continuous lines generated by computer mice or digitizer tablets are prone to errors due to human factors and inaccuracies in recognizing differences between lines, relying on time-consuming visual comparisons or flawed mathematical algorithms.
Innovation Solution
A method that collects data points from these devices at specific time intervals to generate a quadrant array, which is then used for reliable comparison by matching it against a stored reference array, employing a computer program to classify each data point into one of four quadrants based on coordinate differences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If visual comparison method is used to compare two continuous lines, then comparison can be performed, but it is time consuming and results in comparison errors due to human factors
Solution Approach 1:
The patent replaces the manual visual comparison process with an automated computer-based verification system. The system captures parametric data from both continuous lines, processes them through mathematical algorithms, and automatically determines equality or difference, eliminating human factors and time consumption associated with visual inspection.
2Productivity
If automated computer based verification system is used to compare two continuous lines, then comparison time is reduced, but the system makes mistakes in recognizing the differences between two continuous lines
Solution Approach 1:
The patent transforms the continuous line data into a specific parametric format with controlled parameters including time intervals, coordinate precision, and quadrant array structure. This parameter standardization ensures that the automated system processes data in a consistent manner, improving recognition accuracy while maintaining high processing speed.
Solution Approach 2:
The patent divides the continuous line into discrete data points captured at specific time intervals, and further segments the coordinate space into quadrants. This segmentation allows the automated system to process and compare lines systematically, improving both speed and accuracy by breaking down complex continuous data into manageable discrete units.
3Loss of information
If data points are collected continuously without time intervals, then complete line representation is achieved, but data processing complexity and storage requirements increase
Solution Approach 1:
The patent implements periodic data collection by capturing coordinate points at fixed time intervals rather than continuously. This periodic sampling maintains sufficient line representation for accurate comparison while significantly reducing data volume, processing complexity, and storage requirements compared to continuous data collection.
Data Source
AI summary
A method is provided for creating a quadrant array by using two consecutive points in an array of x, y coordinate values generated by movements of a computer mouse or a digitizer tablet. The quadrant array is then saved in computer storage for later verification with a sample quadrant array by using a comparison function.