Multi-touch Finger Registration via Spatial Analysis
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Solution Overview
Problem
Conventional multi-touch devices cannot effectively distinguish between different hands and fingers based solely on the positions of contact points, limiting the design of customizable and platform-independent user interfaces.
Innovation Solution
A method for finger registration that calculates a reference point from contact points, determines spanning angles, and identifies fingers and hands by their relative positions, allowing for dynamic adjustment of user interfaces based on finger and hand identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If conventional multi-touch devices use only contact point positions for input detection, then the device structure remains simple, but the ability to distinguish different hands and fingers is lost
Solution Approach 1:
The patent segments the continuous touch surface into discrete finger regions by detecting contact points and determining their spatial relationships. Each contact point is analyzed independently to identify which finger it belongs to based on its position relative to other contact points and the hand's orientation, thereby distinguishing individual fingers without adding physical segmentation to the device structure.
Solution Approach 2:
The patent transitions from two-dimensional contact point detection to three-dimensional finger identification by inferring the third dimension of finger identity through spatial relationships. By analyzing the relative positions, distances, and angles between multiple contact points, the system determines hand orientation and assigns each contact point to a specific finger, effectively adding a dimensional layer of information without physical complexity.
2Measurement precision
If special hardware is added to detect finger identity through capacitive sensing or vision systems, then finger identification capability is improved, but device complexity and cost increase
Solution Approach 1:
The patent enables the existing touch sensor to serve multiple functions by itself. The same contact point detection mechanism that identifies touch location is also used to determine finger identity through spatial analysis. The system processes the positions of multiple contact points to infer hand orientation and finger assignment, allowing the touch sensor to provide both location and identification information without requiring additional specialized hardware.
Solution Approach 2:
The patent makes the basic contact point detection system universal by enabling it to perform both location detection and finger identification. The method can distinguish between different fingers (thumb, index, middle, ring, pinky) and hands (left, right) using only the positional information already captured by the touch sensor, making the system multi-functional without hardware modifications.
3Adaptability or versatility
If multi-touch interfaces do not distinguish between hands and fingers, then the interface design is simpler, but the ability to provide personalized and adaptive interfaces is limited
Solution Approach 1:
The patent performs preliminary finger identification and hand orientation determination as soon as contact points are detected. By establishing the identity of each finger and the orientation of the hand in advance, the system prepares the necessary information for adaptive interface rendering before the user interacts with interface elements. This preliminary classification enables subsequent interface customization based on which hand and fingers are being used.
Solution Approach 2:
The patent applies different interface treatments to different finger contact points based on their identified identities. Each finger can be assigned specific functions or interface elements according to its position and identity. For example, the thumb might control navigation while the index finger controls selection, allowing localized customization of interface behavior at each contact point rather than uniform treatment of all touches.
Data Source
AI summary
Described herein are finger registration systems and methods for use with a multi-touch device that can facilitate in place execution of commands or operations, thereby reducing focus switching and minimizing hand movement. The finger registration methods are simple and robust, using only contact points on the touch-based device, without requiring additional hardware. Direct mapping of operations to gestures involving individual fingers or combination of fingers (e.g., finger chords), provides a new and rich set of direct manipulation without focus switching for selecting commands/operations.