Gesture Disambiguation via Parameter Analysis
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Solution Overview
Problem
Existing techniques for disambiguating between gestures in electronic devices are cumbersome and inefficient, often requiring multiple key presses or keystrokes, wasting user time and device energy, particularly in battery-operated devices.
Innovation Solution
Implementing methods and interfaces that allow for faster and more efficient disambiguation of gestures by detecting inputs and air gestures, determining the corresponding computer system, and performing operations accordingly, while forgoing operations if the input does not match the intended system, thereby reducing cognitive burden and conserving power.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If existing techniques use a complex user interface with multiple key presses to disambiguate gestures, then gesture disambiguation can be achieved, but user time and device energy are wasted
Solution Approach 1:
The patent extracts the disambiguation logic from the user interface layer and implements it directly at the gesture recognition level. The system detects additional gesture parameters (duration, amplitude, velocity) and automatically processes disambiguation without requiring users to press multiple keys or navigate complex menus, thereby eliminating the time loss associated with manual disambiguation steps
Solution Approach 2:
The patent introduces an intermediary processing layer between gesture detection and command execution. This intermediary analyzes multiple gesture parameters simultaneously and automatically determines the intended command, serving as a mediator that resolves ambiguity without user intervention and eliminates the need for time-consuming multiple key presses
2Ease of operation
If existing techniques use a complex user interface with multiple key presses to disambiguate gestures, then gesture disambiguation can be achieved, but device energy is consumed
Solution Approach 1:
The patent extracts the energy-intensive UI processing steps and replaces them with efficient gesture parameter analysis. By processing disambiguation directly in the gesture recognition module using pre-captured motion data, the system avoids the additional energy consumption that would result from activating display, keyboard, and processing resources for multiple key presses
Solution Approach 2:
The patent performs preliminary capture and analysis of gesture parameters (duration, amplitude, velocity, acceleration) during the gesture execution itself. This preliminary action allows the system to have all necessary disambiguation data ready before command processing begins, eliminating the need for subsequent energy-consuming UI interactions
3Measurement precision
If existing techniques require multiple key presses to disambiguate gestures, then disambiguation can be achieved, but cognitive burden on user increases
Solution Approach 1:
The patent enables the gesture recognition system to self-service the disambiguation process by automatically analyzing multiple gesture parameters and determining intent. The system serves itself by using its own captured motion data to resolve ambiguity without requiring the user to engage in additional actions or cognitive processing, thereby maintaining measurement precision while eliminating cognitive burden
4Measurement precision
If existing techniques use a complex user interface for disambiguation, then disambiguation can be achieved, but user interface becomes cluttered
Solution Approach 1:
The patent extracts the disambiguation functionality from the user interface layer and relocates it to the gesture recognition module. By taking out the complex UI elements (multiple keys, menus, prompts) and replacing them with automated parameter analysis, the system maintains high disambiguation accuracy while significantly simplifying the user interface and reducing device complexity
Data Source
AI summary
The present disclosure generally relates to disambiguating between gestures.