Electrodermal Activity Sensor for Classification of Calm/Distress Condition

This article introduces a new and unobtrusive wearable monitoring device based on electrodermal activity (EDA) to be used in health-related computing systems. This paper introduces the description of the wearable device capable of acquiring the EDA of a subject in order to detect his/her calm/distre...

Full description

Saved in:
Bibliographic Details
Published inSensors (Basel, Switzerland) Vol. 17; no. 10; p. 2324
Main Authors Zangróniz, Roberto, Martínez-Rodrigo, Arturo, Pastor, José, López, María, Fernández-Caballero, Antonio
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 12.10.2017
MDPI
Subjects
Online AccessGet full text
ISSN1424-8220
1424-8220
DOI10.3390/s17102324

Cover

Loading…
More Information
Summary:This article introduces a new and unobtrusive wearable monitoring device based on electrodermal activity (EDA) to be used in health-related computing systems. This paper introduces the description of the wearable device capable of acquiring the EDA of a subject in order to detect his/her calm/distress condition from the acquired physiological signals. The lightweight wearable device is placed in the wrist of the subject to allow continuous physiological measurements. With the aim of validating the correct operation of the wearable EDA device, pictures from the International Affective Picture System are used in a control experiment involving fifty participants. The collected signals are processed, features are extracted and a statistical analysis is performed on the calm/distress condition classification. The results show that the wearable device solely based on EDA signal processing reports around 89% accuracy when distinguishing calm condition from distress condition.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ISSN:1424-8220
1424-8220
DOI:10.3390/s17102324