3D AR Button Selection Using Dynamic Interaction Zones
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional AR systems struggle with accurately detecting and interpreting user interactions with virtual interface elements in 3D space due to reliance on simple position-based detection methods, leading to erroneous selections and unintended interactions, especially when virtual elements are in close proximity, exacerbated by sensor limitations and lack of physical feedback.
Innovation Solution
A system that dynamically adjusts interaction zones based on factors such as finger velocity, alignment, and temporal aspects of user movement, incorporating smoothing and clamping techniques to improve accuracy and reliability of user interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If simple position-based detection methods are used, then the system is easy to implement, but the accuracy of user interaction detection deteriorates
Solution Approach 1:
The system transitions from simple position-based detection to a multi-parameter detection approach that incorporates velocity vectors, alignment calculations, and temporal aspects of user movement. This parameter enrichment enables more accurate distinction between intentional interactions and accidental proximity, directly resolving the contradiction between implementation simplicity and detection accuracy.
2Device complexity
If fixed interaction zones are used, then the interface is simple to design, but the reliability of selection deteriorates when elements are closely spaced
Solution Approach 1:
The system implements dynamic interaction zones that adapt their boundaries and properties based on real-time analysis of user movement patterns, velocity, and alignment with virtual elements. This dynamic adjustment allows the interface to maintain simplicity in design while significantly improving selection reliability in dense element configurations, as the interaction zones automatically optimize themselves during user interaction.
3Measurement precision
If velocity and alignment analysis are incorporated, then the accuracy of interaction detection is improved, but the computational complexity increases
Solution Approach 1:
The system performs preliminary calculations of velocity vectors and alignment metrics as user interaction progresses, rather than computing all parameters simultaneously. This staged computational approach allows the system to maintain high detection accuracy while managing computational complexity by prioritizing calculations based on the current interaction state and confidence levels.
4Manufacturing precision
If dynamic interaction zones are implemented, then the precision of button selection is improved, but the processing time increases
Solution Approach 1:
The system updates interaction zone parameters periodically based on sampled user movement data rather than continuously recalculating at every possible moment. This periodic update mechanism maintains high button selection precision by capturing essential movement characteristics while reducing overall processing time through strategic sampling intervals and incremental updates.
Data Source
AI summary
A head-wearable apparatus improves user interactions with virtual interface elements in augmented reality (AR) environments. The apparatus tracks hand movements in 3D space, calculating velocity vectors and positions of fingers. For each virtual interface element, it determines a UI-to-finger vector and calculates alignment with the finger's velocity vector. Interaction zones are dynamically adjusted based on this alignment and velocity magnitude. The system evaluates consistency between finger movement and element locations to predict intended targets. Interactions are triggered when fingers enter adjusted zones of predicted targets. This approach reduces erroneous selections and improves interaction accuracy, even for closely-spaced elements. The invention applies to various AR scenarios, enhancing user experiences in applications like gaming and education.