3DA: Evaluating 3D-Printed Electrodes for Electrodermal Activity Measurement
Core Concepts
3D-printed electrodes show promise in accurately measuring Electrodermal Activity, offering potential for diverse integration into everyday objects.
Abstract
Abstract:
EDA reflects psychophysiological states.
Current limitations in sensor attachment.
Exploring 3D printing electrodes for EDA measurements.
Introduction:
EDA sensors crucial for stress and workload assessment.
Sympathetic nervous system regulates sweat secretion.
Importance of detecting changes in skin conductance.
Related Work:
Boucsein's framework forms the basis of EDA measurements.
Recent research focuses on unobtrusive EDA recording devices.
Studies on 3D-printed physiological sensors and their applications.
Efficiency of 3D-Printed Electrode Shape on EDA Measurements:
Study Setup:
Utilized 3D printing to create diverse electrode shapes.
Method:
Oddball task used to elicit SCRs for measurement comparison.
Procedure & Task:
Participants engaged in tasks while EDA was recorded using different electrodes.
Results:
General Observations:
Initial skin conductance values decreased over time.
Correlation Between Electrodes:
Large circular electrodes showed the highest correlation values with commercial electrodes.
EDA Classification:
Tall conic electrodes exhibited high recall values and precision.
Discussion:
Recommendations on selecting electrode shapes based on results.
Conclusion and Future Work:
Proposal to integrate EDA sensors into everyday objects through 3D printing.
3DA
Stats
"User study (N=6) revealed that 3D-printed electrodes can measure EDA with similar accuracy."
"Conic and dome electrodes achieved high r-values in the breathing task."
"All test electrodes measured larger SCRs than the reference electrodes on average."