Neuromuscular Gesture Control for Hands-Free UI Navigation
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Solution Overview
Problem
Existing electronic devices require physical interaction, which can be inefficient and inconvenient, especially in situations where hands are occupied or privacy is a concern.
Innovation Solution
Wearable devices equipped with neuromuscular-signal sensors detect in-air gestures to control user interfaces, allowing users to navigate and execute commands without direct physical contact.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If physical interaction with electronic devices is required, then device control is achieved, but user convenience deteriorates and energy consumption increases
Solution Approach 1:
The patent replaces mechanical contact-based interaction (touchscreens, physical buttons) with a neuromuscular signal detection system. EMG sensors detect electrical signals from muscles during in-air gestures, substituting the mechanical interaction pathway with an electrical/biological signal pathway. This eliminates the need for physical device contact while maintaining control capability, directly resolving the contradiction between ease of operation and energy consumption.
Solution Approach 2:
The patent introduces wearable devices with EMG sensors as an intermediary between the user and the electronic device. The wearable detects neuromuscular signals from in-air gestures and transmits control commands to the target device. This intermediary system enables hands-free operation without requiring the user to physically handle the electronic device, improving convenience while reducing energy expenditure associated with manual manipulation.
2Ease of operation
If physical interaction with electronic devices is required, then device control is achieved, but privacy protection deteriorates
Solution Approach 1:
The patent substitutes physical device handling with neuromuscular signal detection. Since the electronic device does not need to be physically touched or held, users maintain better control over device exposure and can perform gestures from a distance, reducing situations where privacy might be compromised through physical interaction or proximity requirements.
Solution Approach 2:
The wearable device acts as an intermediary that captures control inputs without requiring the user to bring the electronic device close to their body or hands. This spatial separation enabled by the intermediary system allows users to maintain privacy while still executing device commands through in-air gestures detected by the wearable.
3Ease of operation
If in-air gestures are detected via neuromuscular-signal sensors, then hands-free operation is achieved, but detection precision may deteriorate
Solution Approach 1:
The patent employs multiple sensor types (EMG sensors, IMU sensors, and/or time-of-flight sensors) within the wearable device to detect in-air gestures. This multi-functional sensing approach cross-validates gesture detection through different physical modalities (neuromuscular signals, motion dynamics, spatial positioning), compensating for the reduced precision of any single sensor type and enabling reliable hands-free operation.
Solution Approach 2:
The system utilizes feedback mechanisms where the wearable device continuously monitors neuromuscular signals and adjusts detection parameters based on detected gesture patterns. By analyzing EMG signal characteristics, motion data, and spatial information in real-time, the system refines gesture recognition accuracy, maintaining hands-free operation capability while improving detection precision through adaptive feedback processing.
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 hands-free, efficient, and privacy-preserving interaction with electronic devices through small, unobtrusive gestures, enhancing user experience and reducing energy consumption.
Implementation Method 1
The sensors at the wearable devices can include electromyography (EMG) sensors (e.g., to detect muscular responses)
Data Source
AI summary
The various implementations described herein include methods and systems for using hand gestures detected at a wearable device to navigate a user interface. An example method includes receiving, via one or more neuromuscular-signal sensors of a wrist-wearable device worn by a user, data generated during performance of an in-air wrist movement by a wrist of the user. The method also includes moving a point of focus on the user interface in accordance with the in-air wrist movement; and receiving, via the one or more neuromuscular-signal sensors, additional data generated during performance of an in-air gesture by the user. The method further includes determining that the in-air gesture is an execution gesture; and executing a command corresponding to the execution gesture.