Multi-Finger Gesture Authoring via Video Demonstration
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Developers face complexity in programming and deploying applications that support multi-finger interactions due to the intricate event models required for handling multiple concurrent finger inputs and their simultaneous movements.
Innovation Solution
A multi-finger gesture authoring tool that combines programming by demonstration and programming by declaration, allowing developers to define and test multi-finger gestures using a video-authoring metaphor, generating modules to detect and handle these gestures within user interfaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If developers use traditional event models to program multi-finger interactions, then the system can detect and respond to multiple concurrent finger inputs, but the programming and testing complexity increases significantly
Solution Approach 1:
The system uses video recording to capture finger gestures and creates a visual copy of the demonstrated interaction. This video copy serves as the basis for generating the interaction module, eliminating the need for developers to manually program complex event models. The visual demonstration is transformed into executable code through automated processing.
Solution Approach 2:
The video recording and processing system acts as an intermediary between the developer's intent and the final multi-finger interaction implementation. Instead of directly programming complex event models, developers demonstrate gestures via video, and the system automatically translates these demonstrations into functional interaction modules, simplifying the development process.
2Ease of operation
If the system supports rich multi-finger interactions with multiple concurrent inputs, then the user interface becomes more intuitive and expressive, but the event model complexity increases
Solution Approach 1:
The system captures actual user gestures through video recording, creating an accurate visual copy of the intended interaction. This approach allows the system to learn complex multi-finger patterns directly from demonstrations rather than relying on pre-defined event models, reducing the complexity of the underlying event handling while maintaining rich interaction capabilities.
Solution Approach 2:
The system automatically generates the interaction detection module from the video demonstration without requiring manual programming. The automated processing includes extracting gesture patterns, defining detection logic, and creating the final module, thereby reducing event model complexity while supporting intuitive multi-finger interactions.
3Manufacturing precision
If developers manually program multi-finger gesture detection, then precise control over gesture behavior is achieved, but the development time and testing effort increase
Solution Approach 1:
The system uses video recording to capture precise gesture demonstrations, creating an accurate visual reference that automatically translates into detection logic. This eliminates manual programming while preserving the precision of gesture detection, as the system learns the exact movement patterns from the video examples.
Solution Approach 2:
The system performs preliminary analysis of the video demonstration to extract gesture characteristics and patterns before generating the detection module. This preliminary processing includes identifying finger positions, movement trajectories, and temporal patterns, which are then encoded into the detection logic, ensuring precision without manual intervention.
Data Source
AI summary
A computing device comprises a processor and an authoring tool executing on the processor. The processor receives demonstration data representative of at least one demonstration of a multi-finger gesture and declaration data specifying one or more constraints for the multi-finger gesture. The processor generates, in accordance with the demonstration data and the declaration data, a module to detect the multi-finger gesture within a computer-generated user interface.


