Artificial Reality Gesture Recognition for Accessible UI Interaction
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Solution Overview
Problem
Current artificial reality systems lack intuitive and accessible methods for users to interact with user interface elements within virtual environments, often requiring physical buttons or complex hand movements, which can be cumbersome and inaccessible for users with motor skill limitations.
Innovation Solution
The system generates and renders user interface elements in response to specific gestures detected by image capture devices, such as gripping and pulling motions, allowing users to invoke UI elements without physical buttons, using predefined gestures stored in a gesture library that can be performed with a single hand or arm, enhancing accessibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If physical buttons or complex hand movements are used for UI interaction, then the system provides reliable input control, but the ease of operation deteriorates and accessibility is reduced
Solution Approach 1:
The patent replaces physical buttons and complex mechanical hand movements with gesture recognition technology that detects and interprets natural hand motions through image capture devices. This substitution eliminates the need for physical UI components while maintaining intuitive interaction through naturally-inspired gestures like pinching, gripping, and throwing motions.
Solution Approach 2:
The system enables users to interact with UI elements using their own natural hand gestures without requiring external controllers or physical buttons. The gesture recognition system automatically detects and processes these self-generated motions, allowing the user's body to serve as the input device itself.
2Adaptability or versatility
If physical buttons are used for UI interaction, then the interaction method is simple to implement, but accessibility for users with motor skill limitations deteriorates
Solution Approach 1:
The gesture recognition system provides a universal interaction method that can be performed by users with varying motor skill levels. Multiple types of gestures (pinching, gripping, throwing, waving) are supported, allowing different users to select gestures that match their capabilities. The same system framework handles diverse gesture types, making the interface adaptable to various user needs.
Solution Approach 2:
The system changes the interaction parameter from fixed physical button presses to variable natural gestures. Users can modify the scale, speed, and type of gestures based on their motor skills, with the system adapting to these parameter variations. This flexibility accommodates users with different physical abilities while maintaining consistent system response.
3Ease of operation
If natural hand and arm movements are used for UI interaction, then ease of operation improves and accessibility enhances, but the difficulty of detecting and measuring gestures increases
Solution Approach 1:
Image capture devices serve as intermediaries between the user's natural gestures and the digital system. These devices capture visual data of hand and arm movements, converting complex physical motions into detectable image sequences. The gesture recognition software then processes these intermediate image representations to identify and interpret the intended gestures, simplifying the detection task.
Solution Approach 2:
The gesture recognition system segments complex hand and arm movements into distinct, recognizable components and patterns. By breaking down continuous motion into discrete gesture elements (such as identifying pinch points, grip formations, or throwing trajectories), the system can detect and measure each segment independently, reducing the overall complexity of gesture detection.
Data Source
AI summary
An artificial reality system is described that renders, presents, and controls user interface elements within an artificial reality environment, and performs actions in response to one or more detected gestures of the user. The artificial reality system includes an image capture device, a head-mounted display (HMD), a user interface (UI) engine, and a rendering engine. The image capture device is configured to capture image data representative of a physical environment. The HMD is configured to output artificial reality content including a representation of a wrist. The rendering engine configured to render a user interface (UI) element. The gesture detector configured to identify a gesture that includes a gripping motion of two or more digits of a hand to form a gripping configuration at the location of the UI element, and a pulling motion away from the wrist while in the gripping configuration.