Proximity-Aware Multi-Touch Tabletop for Multi-User Gesture Differentiation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Multi-touch tabletops struggle to differentiate between multiple users and properly orient content on the screen, leading to cumbersome collaborative experiences.
Innovation Solution
A proximity-aware multi-touch tabletop system using a combination of outer and vertically-directed rings of sensors to detect user presence, position, and gestures, allowing for differentiation between users and appropriate content orientation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple users interact with a multi-touch tabletop simultaneously, then collaborative functionality is enabled, but the system cannot differentiate between users or properly orient content
Solution Approach 1:
The proximity sensor system is segmented into multiple rings positioned at different locations around the tabletop perimeter. Each ring detects users in its specific zone, allowing the system to distinguish between multiple users based on which rings are activated and their relative positions. This spatial segmentation enables user differentiation without requiring complex tracking algorithms.
Solution Approach 2:
The proximity sensors act as an intermediary between the physical presence of users and the touch input processing system. By detecting user proximity and position before touch occurs, the sensors provide contextual information that mediates how touch commands are interpreted, enabling the system to attribute actions to specific users and orient content accordingly.
2Measurement precision
If proximity sensors are added to differentiate users, then user identification improves, but device complexity increases
Solution Approach 1:
The proximity sensor rings serve multiple functions: detecting user presence, determining user position, identifying number of users, and providing orientation data. This multi-functionality allows a single sensor system to replace what would otherwise require separate detection mechanisms, reducing overall system complexity while improving measurement precision.
Solution Approach 2:
The system adds a spatial dimension to user detection by positioning sensor rings around the perimeter of the tabletop rather than relying solely on touch coordinate data. This dimensional approach to detection enables user differentiation based on proximity and angular position, improving identification accuracy without requiring complex per-pixel analysis.
Data Source
AI summary
A proximity-aware multi-touch tabletop is disclosed that includes both a touch screen display and proximity sensors. The proximity sensors are disposed in one or more annular groups around the touch screen display and are positioned in upward-and outward-facing directions. The proximity sensors allow the multi-touch tabletop to sense the distance of a body, arm, hand, or fingers of a user from the multi-touch tabletop. Thus, hand, arm, and finger positions of a user can be determined relative to the body position of the user, which enables the multi-touch tabletop to differentiate between left hand/arm gestures and right hand/arm gestures. Further, because the multi-touch tabletop can correlate left arm and right arm movements to a user body, the multi-touch tabletop can differentiate gestures originating from different users. The ability of the multi-touch tabletop to distinguish between users greatly enhances user experiences, particularly in a multi-user environment.