XR Input Recognition for Direct and Indirect User Interactions
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Solution Overview
Problem
Existing user interaction systems lack the ability to efficiently interpret and differentiate between direct and indirect interactions with virtual elements in extended reality environments, leading to inaccuracies and inefficiencies in user input recognition.
Innovation Solution
A method and system that determines interaction modes based on sensor data, using direct interaction recognition when the user's hand intersects with a 3D area associated with a virtual element and indirect interaction recognition when gaze and hand gestures align, allowing for separate interpretation processes for each mode.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single interaction recognition process is used for all user inputs, then the system is simpler to implement, but the accuracy of interpreting different interaction types deteriorates
Solution Approach 1:
The patent divides the interaction recognition system into separate direct interaction recognition and indirect interaction recognition processes. Each process is specialized for its specific interaction type, improving accuracy while maintaining manageable complexity through modular design. The system segments recognition based on interaction modality rather than using a single general-purpose recognizer.
Solution Approach 2:
The system dynamically selects which recognition process to apply based on real-time determination of interaction mode. The recognition mechanism adapts its behavior depending on whether direct or indirect interaction is detected, optimizing accuracy for the specific interaction type occurring at each moment without requiring both processes to run continuously.
2Adaptability or versatility
If the system only supports direct interaction, then the interaction model is simpler, but the adaptability to different user preferences and scenarios deteriorates
Solution Approach 1:
The patent creates a universal interaction framework that can handle both direct and indirect interaction modalities through a common determination process. The system uses unified criteria (hand position relative to 3D area, gaze direction) to support multiple interaction types, allowing users to choose their preferred interaction style without requiring separate systems for each mode.
3Measurement precision
If the system uses multiple recognition processes for different interaction types, then the interpretation accuracy improves, but the processing time increases
Solution Approach 1:
The system dynamically determines interaction mode and applies only the appropriate recognition process, avoiding the overhead of running multiple recognition algorithms simultaneously. This dynamic selection reduces processing time while maintaining high accuracy by using the specialized recognition process matched to the detected interaction type.
Solution Approach 2:
The system performs preliminary determination of interaction mode (direct or indirect) before applying the specific recognition process. This preliminary classification step allows the system to prepare and apply the most appropriate recognition algorithm, improving efficiency by avoiding unnecessary processing while maintaining accuracy through targeted recognition.
Data Source
AI summary
Various implementations disclosed herein include devices, systems, and methods that interpret user activity as user interactions with user interface (UI) elements positioned within a three-dimensional (3D) space such as an extended reality (XR) environment. Some implementations enable user interactions with virtual elements displayed in 3D environments that utilize alternative input modalities, e.g., XR environments that interpret user activity as either direct interactions or indirect interactions with virtual elements.