Straight Line Gesture Recognition via Bounding Box Thresholding
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Solution Overview
Problem
Existing electronic devices struggle to accurately determine and animate touch-input gestures that approximate straight lines, leading to suboptimal user experience and inefficient interaction with digital content.
Innovation Solution
The implementation of techniques in electronic devices to define an oriented bounding box and apply thresholding to determine if a gesture approximates a straight line, followed by rendering and animating the gesture on a touch-sensitive display through frame updates, allowing for accurate interpretation and animation of straight line gestures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional gesture recognition methods are used, then device complexity is reduced, but measurement precision of straight line gestures deteriorates
Solution Approach 1:
The gesture recognition process is segmented into distinct stages: raw touch input acquisition, oriented bounding box construction, threshold-based straight line determination, and animation rendering. This segmentation allows each stage to be optimized independently, improving measurement precision without proportionally increasing overall device complexity.
Solution Approach 2:
The patent applies preliminary action by pre-defining geometric structures (oriented bounding boxes) and thresholds before gesture analysis. These pre-computed reference frameworks enable faster, more accurate straight line determination during actual gesture recognition, reducing real-time processing complexity while maintaining high measurement precision.
2Measurement precision
If detailed gesture analysis is performed, then measurement precision improves, but loss of time increases
Solution Approach 1:
The patent implements partial action by applying threshold-based filtering that processes only the essential geometric features needed for straight line determination. Rather than analyzing all possible gesture attributes, the system focuses on key parameters (bounding box orientation, threshold comparisons), achieving sufficient measurement precision with reduced processing time.
Solution Approach 2:
The system changes parameters by transforming raw touch coordinates into oriented bounding box parameters and applying threshold values. This parameter transformation simplifies the decision-making process, enabling fast classification of straight line gestures while maintaining accurate measurement through the mathematical relationships inherent in the transformation.
3Ease of operation
If frame updates are applied for animation, then ease of operation improves, but use of energy increases
Solution Approach 1:
The animation system uses periodic frame updates to render gesture animations on the display. By updating the display at controlled intervals rather than continuously, the system maintains smooth animation for improved ease of operation while reducing overall energy consumption through periodic rather than continuous refresh cycles.
Data Source
AI summary
Techniques for determining whether touch-input gestures approximate straight lines and for animating a display with such gestures are described. The techniques determine a linear regression line for pixel locations comprising a gesture, determine distances of the pixel locations from the linear regression line, and render the set of pixel locations to the display based on the distances and a threshold.