Neuromuscular Wearable Control for Private IoT Operation
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Solution Overview
Problem
Current control methods for IoT devices are inflexible, require direct proximity, lack privacy, and are inefficient, especially in noisy or complex environments, and often rely on cumbersome interfaces that do not provide adequate feedback.
Innovation Solution
A system using neuromuscular sensors on wearable devices to detect and interpret muscular activation states, allowing users to control IoT devices through gestures, poses, or sub-muscular activations, enabling intuitive and context-aware control without direct physical interaction, with feedback provided through visual, auditory, or haptic means.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional control methods (apps, remote controls) are used to control IoT devices, then device operation can be controlled, but the control requires direct proximity and complex interfaces
Solution Approach 1:
The patent replaces mechanical control interfaces (buttons, switches, physical interactions) with neuromuscular signal detection. EMG sensors detect electrical signals from muscle contractions, translating involuntary or minimal physical gestures into control commands, thereby eliminating complex interface requirements while maintaining ease of operation.
Solution Approach 2:
The patent introduces neuromuscular sensors as an intermediary between the user's intent and the IoT device control. The sensors capture subtle muscular signals that the user may not even be consciously aware of producing, serving as a natural mediator that translates physiological states into control actions without requiring complex user-device interaction.
2Reliability
If conventional control methods are used, then device control is possible, but user privacy is compromised due to required physical interaction and data collection
Solution Approach 1:
The system uses the user's own physiological signals (neuromuscular signals) as the control mechanism. Since these signals are internal to the user's body and can be detected by wearable sensors, the control method inherently protects privacy by not requiring external data collection or physical interaction with other devices, while maintaining full control accessibility.
3Measurement precision
If traditional control interfaces are used in noisy or complex environments, then control can be attempted, but effectiveness decreases due to lack of feedback and environmental interference
Solution Approach 1:
The patent incorporates feedback mechanisms where the system monitors neuromuscular signals in real-time and provides confirmation to the user when control actions are successfully recognized and executed. This feedback loop ensures high measurement precision by continuously verifying that the detected muscular signals correspond to intended control actions, even in noisy or complex environments where other control methods might fail.
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 seamless, intuitive, and privacy-enhanced control of IoT devices, reducing the need for direct proximity and complex interfaces, improving usability and user experience in various environments.
Implementation Method 1
a plurality of neuromuscular sensors configured to detect and/or record a plurality of neuromuscular signals
Data Source
AI summary
Methods and apparatus for controlling a physical object in an environment based, at least in part, on neuromuscular signals. The method comprises recording a plurality of neuromuscular signals from a plurality of neuromuscular sensors arranged on one or more wearable devices worn by a user, receiving a selection of a physical object within the environment, and controlling, based at least in part on the plurality of neuromuscular signals and/or information based on the plurality of neuromuscular signals, an operation of the selected object within the environment.