Wearable Multimodal Input for Precise 3D Commands and Text Editing
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Solution Overview
Problem
Conventional input techniques in AR/VR/MR environments require high specificity and suffer from high error rates and fatigue due to imprecise commands, especially in 3D space, and text input methods are slow and prone to errors.
Innovation Solution
A wearable system employs multimodal inputs such as head pose, eye gaze, hand gestures, and voice commands to determine interactions with virtual objects and text, reducing the need for precise motor control and hardware complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional input techniques are used in AR/VR/MR environments, then the system requires high specificity and precision, but this leads to high error rates and user fatigue
Solution Approach 1:
The patent combines multiple input modalities (voice commands, hand gestures, eye tracking, head pose) into a unified input system. This multimodal approach allows the system to cross-validate inputs and reduce errors that would occur with any single modality alone, directly addressing the high error rate problem while maintaining precision requirements.
Solution Approach 2:
The system implements a universal input framework that can process and interpret multiple types of inputs (speech, gestures, gaze, head movement) through a common processing architecture. This multi-functional capability enables the system to adapt to different input types and reduce user fatigue by allowing flexible input methods suitable for different contexts.
2Productivity
If conventional text input methods are used, then text composition and editing can be performed, but the process is slow and prone to errors
Solution Approach 1:
The system uses voice commands to pre-dictate text content before final confirmation. This preliminary action of speech-to-text conversion creates a draft that can then be reviewed and confirmed using other modalities, significantly speeding up text composition while reducing errors through multi-modal verification.
Solution Approach 2:
The patent introduces an intermediary processing layer that translates voice commands into text drafts, which then serve as intermediates between the user's intent and the final text output. This intermediary step allows for error correction and confirmation through other input modalities before finalizing the text, improving both speed and accuracy.
3Measurement precision
If multiple input modes are combined to improve interaction accuracy, then the system can reduce hardware complexity, but the system complexity increases
Solution Approach 1:
The patent implements a universal multimodal processing framework that handles voice, gesture, gaze, and head pose inputs through a unified architecture. This universal approach, while combining multiple modalities, actually reduces overall system complexity by using a single processing framework rather than separate systems for each input type, thus improving interaction accuracy without proportionally increasing hardware complexity.
Data Source
AI summary
Examples of wearable systems and methods can use multiple inputs (e.g., gesture, head pose, eye gaze, voice, and/or environmental factors (e.g., location)) to determine a command that should be executed and objects in the three-dimensional (3D) environment that should be operated on. The multiple inputs can also be used by the wearable system to permit a user to interact with text, such as, e.g., composing, selecting, or editing text.