Multi-Touch Gesture Trajectory Adjustment for Accurate Intent Recognition
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Solution Overview
Problem
Existing portable electronic devices struggle to accurately interpret complex gestures based on touch inputs due to limitations in identifying the distance and movement of contact points, leading to inefficiencies in user intent recognition.
Innovation Solution
The electronic device employs a touch sensor to identify distances and center points of multiple contact points, calculates probabilities based on the speed of these points, and adjusts the distance or center point accordingly to enhance gesture recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the device uses basic touch input detection to identify gestures, then the device complexity is low, but the gesture recognition accuracy is insufficient
Solution Approach 1:
The patent segments the touch input analysis into multiple independent parameters: contact point coordinates, distance calculations, center point determination, and velocity computation. Each parameter is processed separately and then integrated to determine gesture intent, improving accuracy without requiring a completely complex system architecture
Solution Approach 2:
The system dynamically adjusts gesture interpretation based on calculated velocity of contact points. By incorporating temporal changes (velocity) alongside spatial parameters (distance), the system adapts its decision-making process to distinguish between intentional gestures and accidental touches, enhancing recognition accuracy
2Measurement precision
If the device calculates velocity based on multiple contact points to improve gesture interpretation, then the gesture interpretation accuracy improves, but the processing time increases
Solution Approach 1:
The system performs preliminary calculations of distance and center point positions for each contact point before computing velocity. These pre-calculated parameters are then used in the velocity computation, allowing the system to process multiple parameters efficiently without requiring all calculations to be performed simultaneously, thus reducing overall processing time
3Productivity
If the device uses simple distance-based gesture identification, then the processing is fast, but the ability to distinguish between different gesture types is limited
Solution Approach 1:
The patent adds a temporal dimension to gesture recognition by calculating velocity from sequential touch inputs. This transforms the recognition from purely spatial (distance-based) to spatio-temporal (distance + velocity), enabling the system to distinguish between different gesture types such as rapid tapping versus slow dragging while maintaining processing efficiency
Data Source
AI summary
An example electronic device may include a touch sensor and a processor. Based on a touch input at a plurality of contact points contacted on the touch sensor, the processor can identify the distance between the plurality of contact points and the center point of the plurality of contact points. Based on a speed of the center point due to the movement of the contact points, the processor can obtain a probability that the touch input corresponds to a first designated gesture associated with the distance and a probability that the touch input corresponds to a second designated gesture associated with the movement of the center point. The processor can change at least one of the distance or the center point based on the probabilities.