Wearable EMG Sensor Power Reduction via Trigger-Based Activation
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Solution Overview
Problem
Wearable devices with electromyography sensors face high power consumption when continuously measuring signals, especially when in standby mode, due to the need to maintain a subset of sensors active for gesture recognition.
Innovation Solution
A method and device that identify a trigger gesture to activate specific electromyography sensors only when needed, using a gesture recognition model to select and activate a subset of sensors in standby mode, reducing power consumption by limiting sensor activation to essential sensors for gesture recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all electromyography sensors are activated continuously for gesture recognition, then gesture recognition accuracy is maintained, but power consumption increases significantly
Solution Approach 1:
The patent divides the sensor array into multiple groups or subsets, where only specific sensors are activated at any given time based on the detected trigger gesture. This segmentation allows the system to maintain gesture recognition capability while reducing the number of active sensors, thereby lowering power consumption during standby mode.
Solution Approach 2:
The system dynamically adjusts which sensors are active based on the detected trigger gesture. When a trigger gesture is detected, specific sensors are activated; when no trigger gesture is present, sensors are deactivated. This dynamic activation strategy maintains measurement precision when needed while minimizing power consumption during idle periods.
2Use of energy by moving object
If a subset of electromyography sensors is activated in standby mode to reduce power consumption, then power consumption decreases, but gesture recognition capability may be compromised
Solution Approach 1:
The system performs preliminary detection using a minimal set of sensors to identify trigger gestures. Once a trigger gesture is detected, the system activates additional sensors as needed. This preliminary action approach ensures that the system maintains reliable gesture recognition capability while minimizing power consumption during standby mode by using only essential sensors initially.
Solution Approach 2:
The system uses feedback from the detected trigger gesture to determine which sensors should be activated. The gesture recognition model analyzes signals from active sensors and provides feedback on whether additional sensors need to be activated to maintain recognition reliability. This closed-loop feedback mechanism ensures reliable gesture recognition while optimizing power consumption.
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
This approach reduces standby power consumption by activating only necessary sensors, allowing for efficient gesture recognition while minimizing battery drain in wearable devices.
Implementation Method 1
obtain a electromyographic signal set from the a plurality of electromyography sensors, based on a movement of a user's body for the identified trigger gesture
Data Source
AI summary
Provided is a method and device for recognizing, by a wearable device, a gesture. The method of recognizing, by a wearable device, a user gesture includes identifying a trigger gesture of the wearable device, obtaining an electromyographic signal set from a plurality of electromyography sensors, based on a movement of a user's body for the identified trigger gesture, obtaining at least one output value by using one or more electromyographic signals from among the obtained electromyographic signal set, as an input to a gesture recognition model, selecting, based on the wearable device being in a standby mode, at least one active electromyography sensor to recognize the user gesture, based on the obtained output value, activating the selected active electromyography sensor and recognizing the user gesture by using the activated at least one active electromyography sensor based on the wearable device being in standby mode.