3DA: Assessing 3D-Printed Electrodes for Measuring Electrodermal Activity

Fuente: arXiv
Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Schmitz, Martin, Schön, Dominik, Klagemann, Henning, Kosch, Thomas
Format: Preprint
Veröffentlicht: 2024
Schlagworte:
Online-Zugang:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
_version_ 1866917619938885632
author Schmitz, Martin
Schön, Dominik
Klagemann, Henning
Kosch, Thomas
author_facet Schmitz, Martin
Schön, Dominik
Klagemann, Henning
Kosch, Thomas
contents Electrodermal activity (EDA) reflects changes in skin conductance, which are closely tied to human psychophysiological states. For example, EDA sensors can assess stress, cognitive workload, arousal, or other measures tied to the sympathetic nervous system for interactive human-centered applications. Yet, current limitations involve the complex attachment and proper skin contact with EDA sensors. This paper explores the concept of 3D printing electrodes for EDA measurements, integrating sensors into arbitrary 3D-printed objects, alleviating the need for complex assembly and attachment. We examine the adaptation of conventional EDA circuits for 3D-printed electrodes, assessing different electrode shapes and their impact on the sensing accuracy. A user study (N=6) revealed that 3D-printed electrodes can measure EDA with similar accuracy, suggesting larger contact areas for improved precision. We derive design implications to facilitate the integration of EDA sensors into 3D-printed devices to foster diverse integration into everyday objects for prototyping physiological interfaces.
format Preprint
id arxiv_https___arxiv_org_abs_2401_17709
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle 3DA: Assessing 3D-Printed Electrodes for Measuring Electrodermal Activity
Schmitz, Martin
Schön, Dominik
Klagemann, Henning
Kosch, Thomas
Human-Computer Interaction
Electrodermal activity (EDA) reflects changes in skin conductance, which are closely tied to human psychophysiological states. For example, EDA sensors can assess stress, cognitive workload, arousal, or other measures tied to the sympathetic nervous system for interactive human-centered applications. Yet, current limitations involve the complex attachment and proper skin contact with EDA sensors. This paper explores the concept of 3D printing electrodes for EDA measurements, integrating sensors into arbitrary 3D-printed objects, alleviating the need for complex assembly and attachment. We examine the adaptation of conventional EDA circuits for 3D-printed electrodes, assessing different electrode shapes and their impact on the sensing accuracy. A user study (N=6) revealed that 3D-printed electrodes can measure EDA with similar accuracy, suggesting larger contact areas for improved precision. We derive design implications to facilitate the integration of EDA sensors into 3D-printed devices to foster diverse integration into everyday objects for prototyping physiological interfaces.
title 3DA: Assessing 3D-Printed Electrodes for Measuring Electrodermal Activity
topic Human-Computer Interaction
url https://arxiv.org/abs/2401.17709