Corner Gesture Activation for Electronic Device Interface Access
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Solution Overview
Problem
Existing solutions fail to accurately activate applications or interfaces using user input patterns that cover the least useful areas of the display workspace with high accuracy.
Innovation Solution
A method and system that activate graphical user interfaces or applications by forming and recognizing gesture patterns between different corner areas of the screen, allowing for efficient access by comparing user input trajectories with stored patterns, even in locked modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If gesture patterns are formed using central or non-corner areas of the display, then the activation accuracy may be improved, but the access speed and user efficiency decrease due to requiring movement through less useful display workspace areas
Solution Approach 1:
The display screen is segmented into corner areas that are specifically designated for gesture activation. By dividing the display workspace and utilizing the corner segments, the system enables direct corner-to-corner gesture paths that bypass the need to traverse through central or less useful display areas, thereby improving access speed while maintaining activation accuracy through dedicated corner contact areas.
Solution Approach 2:
The invention utilizes the corner areas of the display as specific spatial zones for gesture input. By defining gesture patterns that originate and terminate at corner contact areas, the system creates a dimensional optimization where the gesture path leverages the peripheral corner spaces of the display workspace, enabling faster access without compromising the precision of gesture recognition.
2Measurement precision
If gesture patterns require precise trajectory matching, then the activation accuracy increases, but the ease of operation decreases due to strict pattern recognition requirements
Solution Approach 1:
The system modifies the recognition parameters by allowing a defined margin of error in trajectory matching. Instead of requiring exact pixel-perfect gesture reproduction, the system accepts gestures that fall within a predetermined tolerance range from the stored pattern, thereby maintaining high activation accuracy while significantly improving ease of operation and user input flexibility.
Solution Approach 2:
The system incorporates feedback mechanisms in the gesture recognition process by comparing the user's gesture trajectory against stored patterns with tolerance thresholds. This feedback approach allows the system to accept variations in user input while still accurately identifying the intended gesture, balancing precision with operational ease.
Data Source
AI summary
The claimed group of technical solutions relates to the field of controlling electronic devices with the aid of a graphical user interface, in particular to a method and a system for activating an interface with the aid of a specified type of user input. The technical result of the claimed solution consists in providing the option of activating a graphical user interface with the aid of a user input path from two different corner areas of a display. The claimed method is implemented by creating a pattern of gesture activation of an application, comprising an input path using corner regions of a screen.