Touch Device Force Calculation via Object Clustering
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Solution Overview
Problem
Existing methods for calculating the force of a touch object on a touch device are inaccurate when multiple touch objects are involved, leading to difficulties in determining touch events effectively.
Innovation Solution
A method that uses multiple force sensors and touch sensors to cluster touch objects into groups, allowing for the calculation of pressing forces for each group rather than individual objects, enhancing accuracy by simplifying the calculation process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the conventional method calculates the force of each touch object individually, then the calculation is detailed and comprehensive, but the accuracy of force calculation decreases when the number of touch objects is large
Solution Approach 1:
The patent merges multiple touch objects into a single composite touch object when they satisfy specific conditions (same touch type, adjacent positions, forces in same direction). This combining approach reduces the number of individual force calculations needed while maintaining overall accuracy, directly resolving the contradiction between detailed individual calculation and accurate group calculation.
Solution Approach 2:
The patent segments the calculation process into two stages: first identifying and combining touch objects that meet specific criteria, then calculating forces for the combined objects. This segmentation allows the system to apply different calculation strategies to different groups of touch objects, improving overall accuracy without requiring complex individual calculations for all objects.
2Adaptability or versatility
If the number of touch objects increases, then more touch events can be recognized, but the accuracy of force calculation decreases
Solution Approach 1:
When multiple touch objects are detected, the system merges them into composite objects based on their spatial and functional characteristics. This merging maintains the system's ability to recognize diverse touch events while improving force calculation accuracy by reducing computational errors associated with calculating forces for many small individual objects.
Solution Approach 2:
The patent applies different treatment to different groups of touch objects based on their local characteristics. Touch objects that are adjacent and have similar properties are combined, while those that are distant or have different properties are treated separately. This local quality approach ensures high accuracy for each group while maintaining overall versatility.
3Loss of information
If individual force calculation is performed for each touch object, then detailed force information is obtained, but the computational burden increases and accuracy decreases for large numbers of objects
Solution Approach 1:
The system combines touch objects into composite objects while preserving the essential force information needed for accurate calculation. By merging objects with similar characteristics and calculating their combined force, the system maintains sufficient force information detail without the computational burden and accuracy loss of individual calculations.
Solution Approach 2:
The patent applies partial action by calculating forces only for composite touch objects that meet specific criteria, rather than performing exhaustive individual calculations for all touch objects. This selective approach maintains necessary force information while improving accuracy by focusing computational resources on relevant groups.
Data Source
AI summary
A method for determining a force of a touch object on a touch device and for determining its related touch event is provided. The touch object touched on the touch device is clustered into different object groups. Thus, multiple touch objects are simply grouped into two object groups to easily calculate the pressing force that is provided for determining follow-up touch event.