Touch Sensing Position Prediction for Fast-Moving Object Tracking
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Solution Overview
Problem
Conventional capacitive touch sensing systems misinterpret fast-moving objects, leading to erroneous inputs due to varying scanning periods and channel divisions, resulting in irregular velocity interpretations and potential 'splitting' or 'touch separation' of single tracks into multiple tracks.
Innovation Solution
The proposed solution involves a processing system that generates predicted object positions based on non-linear relationships between previously sensed positions, using prediction and filtering sections to associate newly sensed positions with existing tracks, thereby preventing misinterpretation of fast-moving objects and maintaining accurate tracking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional scanning methods are used with fixed scan periods, then the scanning operation is simple and consistent, but fast-moving objects are misinterpreted leading to track splitting and erroneous inputs
Solution Approach 1:
The patent applies dynamics by making the scan period adaptive rather than fixed. The system dynamically adjusts the scan period based on detected object motion characteristics, allowing faster scanning when objects are detected to maintain tracking accuracy while keeping the system relatively simple through conditional adaptation.
Solution Approach 2:
The system uses feedback from detected touch positions and motion patterns to adjust scanning behavior. By analyzing the relationship between consecutive touch positions and detecting when objects cross channel boundaries, the system feeds this information back to modify scan timing, preventing track splitting while maintaining operational simplicity.
2Measurement precision
If scan period varies to track fast-moving objects, then tracking accuracy improves, but velocity interpretation becomes irregular and complex
Solution Approach 1:
The system performs preliminary detection of touch positions and calculates motion characteristics before final velocity interpretation. By detecting when objects cross channel boundaries in advance and adjusting scan periods proactively, the system maintains precise position detection while simplifying velocity calculations through pre-processed motion data.
3Area of stationary object
If channel divisions are used to increase sensor coverage, then sensing area is expanded, but track splitting occurs when objects cross channel boundaries
Solution Approach 1:
The system uses an intermediary detection mechanism that monitors touch positions across channel boundaries. When objects are detected crossing from one channel to another, this intermediary detection triggers adjusted scan periods that maintain continuous tracking, preserving both the expanded sensing area from channel divisions and the reliability of track continuity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach effectively prevents the generation of unrelated separate sense events and erroneous splitting of single tracks, ensuring accurate object path tracking despite irregularities introduced by scan directions and sensor configurations.
Implementation Method 1
capacitance proximity/touch sensing systems and methods
Data Source
AI summary
A method can include determining multiple sensed positions of an object path in a touch sense region; generating at least a first predicted position from the sensed positions; and filtering a sense position, including associating the sense position with the object path if it is within a first proximity to at least the first predicted position, and not associating the sense position with the object path if it is outside of at least the first proximity from the first predicted position.