Gesture Control via Edge Pixel Extraction
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Solution Overview
Problem
Current methods for controlling terminal apparatuses using gestures are inefficient due to complex calculations and resource-intensive processes, which hinder accurate and rapid gesture recognition and control.
Innovation Solution
A method and apparatus for controlling terminal apparatuses by acquiring a gesture image, determining the central coordinate of the gesture based on edge pixels, and defining a controlling range to execute operations, which simplifies calculations and reduces resource requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complex calculation methods are used for gesture recognition, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent extracts only the essential features needed for gesture recognition - specifically edge pixels and their coordinates - rather than processing the entire gesture image. By taking out only the critical information (edge pixel positions) and discarding redundant data, the system achieves accurate gesture identification with significantly reduced computational complexity
Solution Approach 2:
The patent replaces complex mechanical computation systems with a simplified coordinate-based control mechanism. Instead of using resource-intensive image processing algorithms, the system substitutes a straightforward method that maps gesture edge pixel coordinates directly to control parameters, thereby reducing device complexity while maintaining recognition precision
2Productivity
If resource-intensive processes are used for gesture control, then productivity is improved, but loss of energy increases
Solution Approach 1:
The patent extracts only the necessary computational elements - edge pixel coordinates - from the gesture image, eliminating the need for resource-intensive full-image processing. This extraction approach enables rapid gesture recognition (improved productivity) while minimizing computational resource consumption (reduced energy loss)
Solution Approach 2:
The patent applies partial action by processing only the essential portion of the gesture image (edge pixels) rather than the entire image. This partial processing approach achieves sufficient recognition speed for practical applications without incurring the energy costs of complete image analysis
Data Source
AI summary
A method for controlling a terminal apparatus includes acquiring a first gesture image; determining a central coordinate of a gesture in the first gesture image; determining a controlling range in which the gesture has control over the terminal apparatus, based on the central coordinate of the gesture in the first gesture image; and controlling a control object in the controlling range to execute an operation based on a control instruction corresponding to the gesture.