Touch Sensing System Dynamic Reference Data Adjustment
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Solution Overview
Problem
Existing touch sensing systems consume excessive power due to periodic wake-up states and are prone to detection errors caused by noise sensitivity, especially in in-cell touch panels with internal capacitors, leading to unreliable touch detection.
Innovation Solution
A touch sensing system with a panel divided into sensing regions, a memory for storing sensing and reference data, and a control unit that compares data to determine touches, minimizing power consumption and enhancing reliability by adjusting reference data based on sensing position and detecting multiple touch events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If the touch sensing system performs periodic touch sensing operations in wake-up states with fixed lengthy intervals, then the system can detect touches, but power consumption increases
Solution Approach 1:
The patent implements dynamic wake-up interval adjustment where the control portion adapts the wake-up timing based on detected touch patterns and environmental conditions. The system transitions from fixed periodic wake-ups to dynamic intervals, reducing power consumption while maintaining reliable touch detection by adjusting the frequency of sensing operations according to actual system state and usage patterns
Solution Approach 2:
The patent changes the parameter of wake-up interval from a fixed value to a variable parameter that can be adjusted based on system state. By modifying the time interval between wake-up states dynamically, the system optimizes the balance between power consumption and touch detection reliability, allowing longer intervals when no touches are detected and shorter intervals when touch activity is detected
2Reliability
If the in-cell touch panel uses fixed reference data for touch detection, then the detection process is simple, but detection reliability deteriorates due to noise from temperature rise and external environment changes
Solution Approach 1:
The patent implements dynamic reference data adjustment where the control portion updates reference data based on detected noise levels, temperature changes, and environmental conditions. Instead of using static reference data, the system adapts reference values in real-time to compensate for drift caused by temperature and environmental factors, thereby maintaining reliable touch detection without requiring overly complex compensation mechanisms
Solution Approach 2:
The patent employs feedback mechanisms where the control portion continuously monitors touch detection results and environmental conditions, then uses this information to adjust reference data. The system compares detected touch signals against dynamically updated reference values and uses the detection outcomes to refine future reference data, creating a closed-loop system that improves reliability while managing complexity through intelligent adaptation
3Measurement precision
If the touch sensing system uses a single reference data value for all sensing regions, then the system is simple to implement, but sensing level deviation between nodes causes detection errors
Solution Approach 1:
The patent divides the touch panel into multiple sensing regions and assigns separate reference data values to each region. This segmentation allows the system to account for local variations in sensing characteristics across different parts of the panel, compensating for node-specific drift and environmental effects. Each sensing region maintains its own reference data, improving measurement precision without requiring a single complex global reference system
Solution Approach 2:
The patent implements local quality by providing each sensing region with customized reference data tailored to its specific characteristics and environmental exposure. Instead of using uniform reference data across the entire panel, the system adjusts reference values locally for each region based on its position, sensor characteristics, and local environmental conditions, thereby improving detection precision while managing complexity through localized rather than global adjustments
Data Source
AI summary
A touch sensing system includes: a panel portion defined into a plurality of sensing regions; a memory portion which includes a first memory configured to store sensing data obtained from each of the sensing regions of the panel portion and a second memory configured to store reference data; and a control portion which includes a calculator configured to compare the sensing data of each sensing region with the reference data and a touch determiner configured to determine generation of a touch based on output of the calculator.


