Gesture Recognition for Electronic Device Screen Control
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Solution Overview
Problem
Existing methods for manipulating electronic device screens using input devices like fingers, touch pens, or mice are not intuitive or convenient, especially for tasks such as zooming, rotating, and moving content, due to limitations in recognizing and processing user gestures accurately.
Innovation Solution
An electronic device with an input data receiver and a unit expression recognizer that interprets user inputs as combinations of geometric configurations (closed curves, lines, and points) to perform screen manipulation operations, incorporating error correction rules to account for noise and ensure accurate recognition of intended gestures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional finger-based gesture recognition is used for screen manipulation, then touch screen operations can be performed, but the method cannot be applied to other input devices such as touch pens or mice
Solution Approach 1:
The patent applies universality by creating a gesture recognition system that works across multiple input device types (touch screens, touch pens, mice). The system translates different input device interactions into a unified gesture language, allowing the same gesture set to control functions regardless of the input device used, thereby achieving multi-functionality and broad compatibility.
2Measurement precision
If complex gesture recognition algorithms are implemented to improve accuracy, then gesture interpretation becomes more precise, but system complexity and processing time increase
Solution Approach 1:
The patent applies segmentation by breaking down complex gestures into smaller, recognizable components or sub-gestures. The system processes gestures in discrete steps: detecting input device states, translating them into gesture candidates, filtering candidates based on contextual rules, and selecting the most likely gesture. This segmented approach reduces computational complexity while maintaining accuracy.
Solution Approach 2:
The system applies self-service through error correction mechanisms that automatically adjust for common input errors and noise. The gesture recognition system includes built-in validation and correction algorithms that compensate for imperfect input without requiring external intervention, thereby maintaining high accuracy while keeping the system architecture relatively simple.
3Reliability
If noise filtering mechanisms are added to improve gesture recognition reliability, then accuracy under noisy conditions improves, but processing time and computational load increase
Solution Approach 1:
The patent applies partial action by implementing selective noise filtering rather than comprehensive processing of all input signals. The system applies filtering and error correction only when noise or errors are detected in the input stream, allowing quick processing of clean signals while providing enhanced reliability when needed. This conditional approach balances processing time and reliability.
Data Source
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AI summary
A screen operation method for an electronic device based on the electronic device and a control action is disclosed. The electronic device may include an input data receiving module for receiving input data through the device from a user, a unit presentation recognizing module for recognizing a unit presentation from the input data in order to control the electronic device, and a screen controlling module for controlling the screen of the electronic device based on the control action with which the unit presentation is combined.