Facial EMG Sensor Wearable for Precision Gesture Control
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Solution Overview
Problem
Gestural control systems face limitations in precision spatial location, leading to errors in determining gestural commands, particularly for wearable devices that rely on body segment positioning.
Innovation Solution
The use of electromyogram (EMG) technology to measure facial muscle electrical activity, combined with inertial sensors, to provide improved gesture control and precision in controlling wearable devices, including the ability to interpret muscle contractions and head movements for command inputs, and transmit this data for better device response.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If gestural control systems use body segment positioning to determine commands, then the system can control wearable devices, but precision spatial location is insufficient leading to errors
Solution Approach 1:
The patent introduces EMG sensors as an intermediary to detect muscle electrical activity as a mediator between user intent and device control. This intermediary measurement method provides more precise spatial location data by detecting actual muscle activation patterns rather than relying solely on body segment positioning, thereby resolving the contradiction between measurement precision and command accuracy
Solution Approach 2:
The patent replaces the mechanical body segment positioning system with an electrical detection system (EMG sensors). Instead of mechanically tracking body segment positions, the system uses electrical signals from muscles to determine control commands, achieving higher precision in spatial location and gesture recognition
2Measurement precision
If EMG sensors are added to measure facial muscle electrical activity, then control precision is improved, but device complexity increases
Solution Approach 1:
The patent makes the wearable device universal by integrating multiple sensor types (EMG sensors, inertial sensors, accelerometers) that can serve multiple functions. The EMG sensors not only provide control precision for gesture recognition but also enable biomedical monitoring and assist paralyzed individuals, thereby justifying the increased device complexity through multi-functionality
Solution Approach 2:
The patent merges EMG sensor technology with existing inertial sensors and accelerometer systems into a unified control platform. By combining these different sensing modalities, the system achieves enhanced control precision while managing complexity through integrated processing and unified device architecture
3Adaptability or versatility
If multiple sensor types are integrated for comprehensive control, then control versatility is improved, but difficulty of detecting and measuring increases
Solution Approach 1:
The patent segments the control system into distinct functional modules: EMG signal acquisition module, inertial sensor module, signal processing module, and control execution module. This segmentation allows each module to handle specific detection and measurement tasks independently, reducing the overall difficulty by breaking down the complex multi-sensor integration into manageable segments
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
Enhances precision in controlling wearable devices, allows paralyzed individuals to participate in daily activities, and provides biomedical monitoring, enabling more accurate and nuanced control through facial and head movements, while also augmenting accelerometer-based solutions.
Implementation Method 1
at least one sensor configured to detect electrical activity from a user's facial muscles, the at least one sensor operatively connected to the processor
Implementation Method 2
The processor may be configured to interpret the electrical activity from the user's facial muscles in combination with at least one of head orientation or movement as a second command
Data Source
AI summary
A system includes at least one wearable device having a housing, at least one sensor disposed within the housing, at least one output device disposed within the housing, and at least one processor operatively connected to the sensors and output devices, wherein one or more sensors are configured to detect electrical activity from a user's facial muscles and to transmit a data signal concerning the electrical activity of the user's facial muscles to one of more of the processors. A method of controlling a wearable device includes determining facial muscular electrical data of a facial gesture made by a user, interpreting the facial muscular electrical data to determine a user response, and performing an action based on the user response.