Hierarchical Gesture Region Segmentation for UI Input
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Solution Overview
Problem
Current gesture recognition technologies face challenges in accurately interpreting and executing user inputs, particularly in distinguishing between select and confirm gestures, especially when dealing with complex navigation and command modes, and providing effective feedback to users.
Innovation Solution
The method involves setting hierarchical gesture regions based on preset or detected locations of objects to be tracked, using input devices like cameras or sensors, and recognizing gestures by analyzing location, motion, and shape information to perform specific functions, including select, confirm, and command gestures, with feedback provided through various output devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If gesture recognition technology is used to enable autonomous computer analysis of human behavior, then information transmission capability is improved, but accuracy in distinguishing between select and confirm gestures deteriorates
Solution Approach 1:
The gesture recognition space is segmented into distinct gesture regions (select gesture region and confirm gesture region) within the display area. By dividing the interaction space into functionally separated zones, the system can accurately distinguish between different gesture types based on their spatial locations, thereby resolving the contradiction between versatile information transmission and precise gesture differentiation.
2Adaptability or versatility
If complex navigation and command modes are implemented, then user interface functionality is improved, but difficulty in recognizing and executing gestures deteriorates
Solution Approach 1:
Different regions of the display are assigned different functional qualities - the select gesture region handles navigation functions while the confirm gesture region handles command execution. This local differentiation allows complex UI functionality to be implemented through simple, region-specific gesture rules, reducing the overall difficulty of gesture detection and execution.
Solution Approach 2:
The gesture regions act as intermediaries between the user's physical gestures and the system's complex navigation and command modes. By introducing these spatial mediators, the system translates diverse gesture intentions into standardized region-based interactions, simplifying the detection process while maintaining rich functionality.
3Adaptability or versatility
If gesture regions are set based on detected object locations, then adaptability to user input is improved, but device complexity increases
Solution Approach 1:
The gesture regions are dynamically positioned based on the detected location of objects within the display area. Rather than using fixed regions, the system adapts region boundaries to the current object positions, allowing flexible and context-aware gesture recognition. This dynamic approach maintains adaptability while managing complexity through real-time spatial calculations.
Data Source
AI summary
A method for a user interface based on a gesture includes setting at least one gesture region including at least one basic region and at least one navigation region based on a preset location or a detected location of at least one object to be tracked, the at least one navigation region including at least one item, detecting a gesture of the at least one object to be tracked using an input device, and recognizing, from the detected gesture, at least one of a select gesture for selecting any one item among the at least one item of the at least one navigation region and a confirm gesture for moving from the at least one navigation region to the at least one basic region.