Gesture Intensity Mapping for Direct Image Operations
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Solution Overview
Problem
Conventional electronic devices require users to transition between applications to perform operations on images, making the process cumbersome and lacking in simplicity and robustness for interacting with meaningful objects within images.
Innovation Solution
A method and apparatus that allow users to perform operations on at least two objects displayed in an electronic device by detecting and interpreting gestures, determining the intensity of these gestures, and mapping the intensity to specific operations, thereby enabling seamless interaction and execution of tasks directly from the image interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional touch-based selection is used to interact with images, then the system is simple to implement, but the user must transition among various applications to perform operations, making the process cumbersome and time-consuming
Solution Approach 1:
The patent merges multiple application functions into a single image interaction interface. By detecting gestures on image objects and automatically triggering corresponding operations (social media sharing, device pairing, calls, messages), the system eliminates the need for users to manually transition between applications, thereby reducing time loss while maintaining ease of operation
Solution Approach 2:
The patent introduces an intermediary gesture recognition system that acts as a mediator between the user and multiple applications. The gesture detection mechanism interprets user intentions and automatically initiates appropriate operations across different applications, serving as an efficient intermediary that reduces manual navigation time
2Ease of manufacture
If simple touch-based selection is used, then the input method is straightforward, but the system lacks robustness and simplicity for interacting with meaningful objects within images
Solution Approach 1:
The patent enhances the simplicity of input by introducing gesture intensity as an additional parameter. Instead of requiring complex multi-step selections, the system uses variations in gesture intensity (light tap vs. heavy press, single tap vs. double tap) to differentiate between different operations, maintaining input simplicity while significantly improving interaction robustness
Solution Approach 2:
The patent makes the input system dynamic by responding to gesture characteristics such as intensity, duration, and pattern. The system dynamically adjusts its interpretation based on the detected gesture properties, enabling robust object interaction while keeping the input method simple and intuitive
3Adaptability or versatility
If gesture intensity detection is implemented, then the system can perform more meaningful operations, but the device complexity increases
Solution Approach 1:
The patent implements a universal gesture recognition system that handles multiple operations (social media sharing, device pairing, calls, messages) through a single integrated interface. By making the gesture detection mechanism multi-functional and adaptable to different operation types, the system achieves high versatility without proportionally increasing device complexity
Solution Approach 2:
The patent uses gesture intensity parameter changes to enable versatile operations. By detecting variations in a single parameter (gesture intensity) rather than requiring multiple complex detection mechanisms, the system achieves operational versatility while keeping the overall device complexity manageable
Data Source
AI summary
The embodiments herein provide a method for performing an operation in an electronic device. The method includes displaying at least two objects. Further, the method includes identifying a gesture on the at least two objects. Further, the method includes displaying at least one content for performing at least one operation relative to the at least two objects according to a level corresponding to the gesture among a plurality of levels.