AR Locomotion Control Using Hand Gestures and Overlay UI
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Solution Overview
Problem
Current hand gestures for interacting with artificial-reality environments are limited and do not support precise control over locomotion, requiring complex menus and physical controllers, leading to user frustration and inefficient navigation.
Innovation Solution
Head-wearable devices detect hand gestures to control locomotion effects, providing positional-control user interfaces that allow users to navigate AR environments using in-air hand gestures without physical controllers, enabling layered interactions for efficient movement and teleportation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If physical controllers and complex menus are used for locomotion control, then control precision is improved, but device complexity and ease of operation deteriorate
Solution Approach 1:
The patent replaces physical controllers with hand gesture recognition technology. The system detects hand gestures through sensors and uses machine learning models to interpret gesture intent, substituting mechanical control interfaces with an optical and computational system. This eliminates the need for physical controllers while maintaining control precision through sophisticated gesture recognition algorithms.
Solution Approach 2:
The patent introduces a gesture recognition system as an intermediary between the user and the artificial reality environment. This intermediary layer translates hand gestures into locomotion commands, providing a natural and intuitive control mechanism that eliminates complex menus while maintaining precise control through the intermediary's intelligent interpretation of gesture patterns.
2Measurement precision
If physical controllers are used for locomotion control, then control precision is improved, but ease of operation deteriorates
Solution Approach 1:
The patent replaces physical controllers with hand gesture recognition technology. The system detects hand gestures through sensors and uses machine learning models to interpret gesture intent, substituting mechanical control interfaces with an optical and computational system. This eliminates the need for physical controllers while maintaining control precision through sophisticated gesture recognition algorithms.
Solution Approach 2:
The system enables users to control locomotion using their natural hand gestures without requiring learning or adaptation to complex control schemes. The gesture recognition system automatically interprets user intent and translates it into appropriate locomotion commands, making the system self-adaptive and extremely easy to operate while maintaining precision.
3Measurement precision
If complex menus and interaction sequences are required, then control precision is improved, but loss of time increases
Solution Approach 1:
The system performs preliminary action by continuously monitoring and pre-processing hand gesture data in real-time. The gesture recognition model is trained beforehand to recognize various locomotion commands, allowing the system to immediately execute precise locomotion control without requiring users to navigate through menus or sequences, thereby eliminating time loss while maintaining precision.
Solution Approach 2:
The patent enables users to skip through complex menu structures and interaction sequences by directly gesturing to indicate desired locomotion actions. The system interprets these gestures and executes the corresponding commands immediately, allowing users to rush through what would traditionally be lengthy menu navigation processes in a fraction of the time while maintaining precise control.
Data Source
AI summary
Systems and methods are provided for adjusting a representation of a user's position within an artificial-reality application using a hand gesture. One example method includes, while displaying, via a head-wearable device worn by a user, a representation of a user's position within an artificial-reality environment, in response to receiving an indication that a positional-control activation hand gesture has been performed, displaying a positional-control user interface (UI) overlaid on a portion of the artificial-reality environment, the positional-control UI including a positional-control UI element configured to perform a positional-control action. The example method further includes, while displaying the positional-control UI, in response to receiving an indication that the positional-control UI element has been selected, via a positional-control input hand gesture, causing a change in the representation of the user's position within the artificial-reality environment based on the positional-control action, and displaying a changed representation of the user's position within the artificial-reality environment.