Biopotential Gesture Training for Imperceptible Wearable Input
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Solution Overview
Problem
Users face inefficiencies and distractions when interacting with electronic devices, as current methods require physical engagement that disrupts real-world activities and may not be socially acceptable.
Innovation Solution
Training users to perform imperceptible biopotential-based gestures using wearable devices that detect and guide activation of specific biological motor units, minimizing physical movement through micromovements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users interact with electronic devices using traditional physical inputs (touching, clicking), then device control is achieved, but user engagement with real-world activities is disrupted and social acceptability decreases
Solution Approach 1:
The patent replaces mechanical input methods (touching, clicking) with biopotential-based gestures detected through sensors. Users perform subtle muscle activations that generate detectable electrical signals, allowing device control without physical contact. This substitution enables users to interact with devices while maintaining visual attention on real-world activities, thereby resolving the contradiction between ease of operation and user engagement time
Solution Approach 2:
The system changes the parameter of physical movement from macro-scale (visible hand movements) to micro-scale (imperceptible muscle activations). By detecting biopotential signals from subtle muscle contractions, the system allows device interaction through parameters that are undetectable to bystanders, thus maintaining social acceptability and real-world engagement while achieving device control
2Productivity
If users perform visible hand movements to interact with devices, then inputs are registered, but user fatigue increases due to excessive movement
Solution Approach 1:
The patent substitutes mechanical hand movements with electrical signal detection from muscle activations. Instead of requiring users to physically move their hands across the device, the system detects biopotential signals from subtle muscle contractions using sensors. This replacement dramatically reduces the energy required for input operations while maintaining high input efficiency, as the system can detect and interpret commands from minimal muscle activity
Solution Approach 2:
The system requires only partial action in terms of physical movement - users need to activate muscles just enough to generate detectable biopotential signals, rather than performing full-range hand movements. This partial activation approach minimizes energy expenditure and user fatigue while still achieving reliable input registration through sensitive signal detection
3Ease of operation
If traditional physical interaction methods are used, then device control is achieved, but social acceptability decreases in certain environments
Solution Approach 1:
The patent changes the visibility parameter of the interaction from macro-scale visible hand movements to micro-scale imperceptible muscle activations. By detecting biopotential signals from subtle muscle contractions that cannot be seen by bystanders, the system maintains device control functionality while eliminating the social awkwardness associated with visible gestures in inappropriate environments such as meetings, religious services, or social gatherings
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 efficient and socially acceptable interaction with electronic devices by reducing user fatigue and maintaining engagement with the real world through imperceptible movements.
Implementation Method 1
one or more biopotential sensors of the wrist-wearable device detects a movement of the at least one body part
Data Source
AI summary
System and method for guiding a user in activating biological motor units (MUs) are disclosed. A method includes presenting instructions for performing a movement associated with activation of MUs, and graphical elements associated with the activation of the MUs. The method includes, in response to detecting an activation of the MUs, determining, based on biopotential sensor data captured during performance of the movement an additional movement to be performed by the user and a change to the graphical elements. The method includes presenting additional instructions for performing the additional movement, and the change to the graphical elements. The method includes, in response to detecting an additional activation of the MUs, in accordance with a determination that additional biopotential sensor data captured during performance of the additional movement satisfies a threshold, associating the additional biopotential sensor data with biopotential-based gestures, and presenting an additional change to the graphical elements.