Dynamic Gesture Parameters for Computing Devices
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Solution Overview
Problem
Traditional gesture recognition techniques in computing devices become less efficient as the number of operations increases, due to fixed parameter thresholds that limit the recognition of gestures and complicate user input differentiation.
Innovation Solution
Implementing dynamic gesture parameters, where thresholds of one parameter vary with respect to another, allowing for a richer definition of gestures and improved recognition accuracy and intuitiveness, including touch gestures and natural user interface inputs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional static parameter thresholds are used for gesture recognition, then the gesture recognition system is simple to implement, but the amount of gestures that may be recognized is limited and recognition accuracy decreases
Solution Approach 1:
The patent applies dynamics by transitioning from static gesture parameters to dynamic parameters that change over time. The system now uses time-varying thresholds and parameters that adapt during gesture execution, allowing the same gesture to be recognized under different conditions at different times, thereby increasing gesture recognition capability without proportionally increasing system complexity
Solution Approach 2:
The patent implements parameter changes by allowing gesture parameters such as thresholds to vary dynamically during gesture recognition. Instead of fixed thresholds, the system uses thresholds that change based on time and other parameters, enabling more gestures to be recognized with higher accuracy while maintaining a manageable system structure through systematic parameter management
2Adaptability or versatility
If additional functions are added to computing devices, then functionality increases, but traditional interaction techniques become less efficient
Solution Approach 1:
The patent applies universality by creating a gesture recognition system that can handle multiple functions and operations through a unified interface. The dynamic parameter system allows a single gesture framework to recognize and initiate various operations (panning, zooming, selecting, etc.) without requiring separate interaction techniques for each function, thereby maintaining interaction efficiency as device functionality increases
3Measurement precision
If fixed parameter thresholds are used for gesture definition, then the gesture recognition system is simple, but differentiation between gestures becomes complicated
Solution Approach 1:
The patent uses dynamics to improve gesture differentiation by implementing time-varying parameters that capture the temporal characteristics of different gestures. Gestures are differentiated not just by spatial parameters but by how these parameters evolve over time, allowing more precise differentiation without requiring an excessive number of static parameters
Solution Approach 2:
The patent adds the time dimension to gesture parameter analysis. By incorporating temporal variation into parameter thresholds and values, the system differentiates gestures along the time dimension in addition to spatial dimensions, improving measurement precision while keeping the parameter structure manageable through the systematic use of time-based variations
Data Source
AI summary
Techniques involving gestures and other functionality are described. In one or more implementations, an input is recognized by a computing device as corresponding to a gesture, the gesture defined using a plurality of parameters, at least one of which having a threshold that varies with respect to another one of the parameters. An operation is caused to be performed by the computing device that corresponds to the gesture.