Electrodermal Sensing with Motion Noise Filtering for Emotion Detection
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Solution Overview
Problem
Existing electrodermal activity measurement systems rely on user-initiated learning, leading to erratic and unreliable emotion detection due to subjective user experiences, and existing sensors struggle with noise interference from user movements.
Innovation Solution
An electrodermal apparatus with electrodes, an accelerometer, gyroscope, and a processor that processes electrical and movement signals to determine emotional states independently, using techniques like Active Noise Cancellation and Empirical Mode Decomposition for denoising, and a supervised learning model for accurate emotion classification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If user classification of emotional moments is used, then system complexity is reduced, but measurement precision and reliability deteriorate due to subjective user experience and erratic behaviors
Solution Approach 1:
The patent replaces the manual/mechanical classification process with an automated electronic system. The processor automatically analyzes electrodermal activity signals from the sensor to detect and classify emotional moments, eliminating the need for user subjectivity while maintaining system simplicity through integrated automation.
Solution Approach 2:
The system performs self-analysis of emotional states by automatically processing its own sensor data. The processor independently detects emotional moments from the electrodermal activity signals without requiring external user input or classification, making the system self-sufficient and objective.
2Device complexity
If user classification is required, then device complexity is reduced, but reliability worsens due to dependence on user ability to complete learning and expose to events
Solution Approach 1:
The patent replaces the unreliable manual classification process with an automated electronic classification system. The processor consistently applies the same detection algorithms to all emotional moments, ensuring reproducible results independent of user ability, learning curves, or exposure to specific events during learning phases.
3Measurement precision
If accelerometer and gyroscope are added to process signals, then measurement precision improves by reducing noise from user movements, but device complexity increases
Solution Approach 1:
The patent merges multiple sensor functions into a single integrated processing system. The processor simultaneously handles data from electrodermal activity sensors, accelerometers, and gyroscopes, combining these inputs to automatically distinguish between physiological emotional responses and movement-induced artifacts, thereby improving signal quality while managing complexity through integration.
Solution Approach 2:
The processor acts as an intermediary that mediates between the raw signals from multiple sensors and the final emotional state detection. It uses the accelerometer and gyroscope data as intermediary information to filter out movement noise from the electrodermal activity signals, enabling more accurate emotional detection.
4Reliability
If automatic emotional state analysis is implemented, then reliability improves, but device complexity increases due to additional sensors and processing requirements
Solution Approach 1:
The system achieves automatic emotional state analysis through self-service processing, where the integrated processor autonomously analyzes electrodermal activity signals without requiring external user input or manual classification. This automation improves reliability by eliminating subjective errors while the integration of processing functions manages the complexity burden.
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
Provides reliable, real-time emotional state detection without user intervention, filtering noise effectively and achieving accurate emotion recognition through robust signal processing and machine learning.
Implementation Method 1
measure the current flowing between pairs of electrodes, to apply digital preprocessing to the measured electrical signals and to determine the conductance of the dermal layer
Implementation Method 2
an absolute movement accelerometer and absolute rotation gyroscope (IMU), delivering electrical signals to said processor
Data Source
AI summary
The invention presents an electrodermal apparatus comprising at least two electrodes (10), each of which is configured to be in contact with a dermal region, and an electronic circuit comprising an analog-to-digital converter and a processor that is configured to execute computer-executable instructions in order to bias the electrodes (10), to measure the current flowing between pairs of electrodes (10), to apply digital preprocessing to the measured electrical signals and to determine the conductance of the dermal layer, wherein the sensor further comprises an accelerometer, delivering electrical signals to the processor, the preprocessing taking into account the level of the signals that are delivered by the accelerometer.