Neuromuscular Text Entry in Augmented Reality via EMG Sensors
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Solution Overview
Problem
Current augmented reality (AR) systems rely on cumbersome input devices or voice commands, which are inefficient and lack precision, especially in scenarios where subtle movements or covert input is required.
Innovation Solution
A system that utilizes neuromuscular sensors to detect and process muscle signals, allowing users to provide input through typing, writing, drawing, or one-handed actions directly, with the ability to switch between modes seamlessly and provide visual feedback for improved control and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional input devices (keyboard, mouse, voice commands) are used to control AR system, then the system can be operated, but the operation becomes cumbersome and inefficient
Solution Approach 1:
The patent replaces traditional mechanical input devices (keyboard, mouse, controller) and voice command systems with a neuromuscular signal detection system. EMG sensors detect electrical signals from muscle contractions, converting physiological data directly into control inputs for the AR system. This substitution eliminates the need for physical manipulation of input devices while providing more intuitive and efficient control.
Solution Approach 2:
The patent introduces neuromuscular sensors as an intermediary between the user's intent and the AR system control. The EMG sensors act as a mediator that captures subtle muscle signals and translates them into meaningful input commands, bridging the gap between user intention and system response without requiring traditional input devices.
2Measurement precision
If traditional input devices are used, then basic control is achieved, but precision for subtle movements is insufficient
Solution Approach 1:
The patent changes the detection parameter from macroscopic physical movements (hand motions, button presses) to microscopic physiological signals (electrical potentials from muscle fibers). By detecting EMG signals at the millivolt level, the system achieves high precision in detecting subtle muscle activations that precede visible movement, enabling more precise control while maintaining input simplicity.
Solution Approach 2:
The patent detects neuromuscular signals before the actual movement occurs, as muscle electrical activity precedes visible contraction and motion. This preliminary detection allows the system to anticipate and respond to user intent before the physical action is completed, enhancing both precision and responsiveness while keeping the interface simple.
3Adaptability or versatility
If traditional input methods are used, then overt input is possible, but covert input capability is lacking
Solution Approach 1:
The patent creates a universal input system that can detect and interpret multiple types of muscle-based gestures and actions through a single sensor array. The EMG detection system serves multiple functions including discrete gesture recognition, continuous control, and covert signaling, replacing the need for multiple specialized input devices or methods while enhancing adaptability across different input scenarios.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables more intuitive and precise interaction with AR systems by converting neuromuscular signals into actionable inputs, enhancing user experience and operability, especially in situations where traditional input devices are not feasible or desirable.
Implementation Method 1
a system that senses neuromuscular signals via neuromuscular sensors... Neuromuscular signals may be used directly as an input to an XR system (e.g., by using motor unit action potentials as an input signal)
Data Source
AI summary
Methods and systems for providing input to an augmented reality system or an extended reality system based, at least in part, on neuromuscular signals. The methods and systems comprise detecting, using one or more neuromuscular sensors arranged on one or more wearable devices, neuromuscular signals from a user; determining that a computerized system is in a mode configured to provide input including text to the augmented reality system; identifying based, at least in part, on the neuromuscular signals and/or information based on the neuromuscular signals, the input, wherein the input is further identified based, at least in part, on the mode; and providing the identified input to the augmented reality system.