AR Fingerspelling Text Entry via Hand Tracking
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Solution Overview
Problem
AR systems face limitations in available user input modalities, making it difficult for users to indicate intent and invoke actions or applications, unlike other mobile devices which often rely on touchscreens or keyboards.
Innovation Solution
The implementation of gesture recognition and fingerspelling as input modalities in AR systems, allowing users to enter text and invoke actions through hand movements and fingerspelling signs, which are detected by the AR system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional input modalities like touchscreen or keyboard are used in AR systems, then text entry capability is improved, but user attention must be diverted from the AR experience
Solution Approach 1:
The patent replaces traditional mechanical input devices (touchscreen, keyboard) with a gesture-based input system using hand tracking and computer vision. Users perform hand gestures to input text and commands while maintaining their visual attention on the AR environment, eliminating the need to look at or physically interact with traditional input devices.
2Adaptability or versatility
If gesture recognition is implemented in AR systems, then user input versatility is improved, but system complexity increases
Solution Approach 1:
The patent introduces intermediate processing layers including hand tracking algorithms, gesture recognition models, and natural language processing components that mediate between raw camera input and system commands. These intermediaries translate complex hand gestures into simple textual or command-based inputs, managing system complexity while maintaining input versatility.
Solution Approach 2:
The patent segments the input process into distinct stages: hand detection, gesture classification, intent recognition, and command execution. This segmentation allows each component to be optimized independently and simplifies the overall system architecture by breaking down the complex gesture recognition task into manageable sub-tasks.
3Productivity
If fingerspelling gestures are used for text entry, then input speed is improved, but gesture recognition accuracy must be maintained
Solution Approach 1:
The patent implements feedback mechanisms where the system provides real-time visual or haptic feedback to confirm successful gesture recognition. This feedback loop allows users to adjust their gestures if misrecognized and enables the system to learn from correction patterns, improving both speed and accuracy over time through adaptive recognition algorithms.
Solution Approach 2:
The patent uses preliminary actions such as predictive text completion and context-aware gesture interpretation to reduce the number of gestures required for text entry. By anticipating user intent based on previous inputs and contextual information, the system can suggest completions or interpret gestures more accurately, improving text entry speed while maintaining recognition accuracy.
Data Source
AI summary
A text entry process for an Augmented Reality (AR) system. The AR system detects, using one or more cameras of the AR system, a start text entry gesture made by a user of the AR system. During text entry, the AR system detects, using the one or more cameras, a symbol corresponding to a fingerspelling sign made by the user. The AR system generates entered text data based on the symbol and provides text in a text scene component of an AR overlay provided by the AR system to the user based on the entered text data.