elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Sensor-based Identification of Human Stress Levels

Frank, Korbinian and Robertson, Patrick and Gross, Michael and Wiesner, Kevin (2013) Sensor-based Identification of Human Stress Levels. In: 2013 IEEE International Conference on Pervasive Computing and Communications Workshops, pp. 127-132. IEEE. MUCS 2013: 10th IEEE Workshop on Managing Ubiquitous Communications and Services part of PerCom 2013, 18.-22. Mar. 2013, San Diego, CA, USA. ISBN 978-1-4673-5076-1

[img] PDF (Paper) - Registered users only
584kB

Abstract

In this work we present a mobile stress recognition system based on an existing activity recognition system using a hip-worn inertial measurement unit and a chest belt. Integrating activity knowledge, the prediction of different human stress levels in a mobile environment can be enabled while the state of the art is focussed on stress recognition in static environments. Our system has been implemented on an Android mobile phone and evaluated for different Bayesian networks as classifiers. Our implementation is able to operate in real-time with a stress inference rate of 1 Hz. The results of this work indicate that the implemented system is able to differentiate between the states ’No Stress’ and ’Stress’ in a mobile context. A more detailed distinction of stress in five substates has not been possible in a reliable way to date. With our results, the proposed system can serve as a basis for further improvements with larger data sets and for in-situ testing during disaster assessment.

Item URL in elib:https://elib.dlr.de/80709/
Document Type:Conference or Workshop Item (Speech)
Title:Sensor-based Identification of Human Stress Levels
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Frank, Korbiniankorbinian.frank (at) dlr.deUNSPECIFIED
Robertson, Patrickpatrick.robertson (at) dlr.deUNSPECIFIED
Gross, MichaelLMU, IfIUNSPECIFIED
Wiesner, KevinLMU, IfIUNSPECIFIED
Date:18 March 2013
Journal or Publication Title:2013 IEEE International Conference on Pervasive Computing and Communications Workshops
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 127-132
Editors:
EditorsEmail
Hengartner, UrsUNSPECIFIED
Schiele, GregorUNSPECIFIED
Publisher:IEEE
ISBN:978-1-4673-5076-1
Status:Published
Keywords:context; inference; stress; activity recognition; Bayesian
Event Title:MUCS 2013: 10th IEEE Workshop on Managing Ubiquitous Communications and Services part of PerCom 2013
Event Location:San Diego, CA, USA
Event Type:international Conference, Workshop
Event Dates:18.-22. Mar. 2013
Organizer:IEEE
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Traffic Management (old)
DLR - Research area:Transport
DLR - Program:V VM - Verkehrsmanagement
DLR - Research theme (Project):V - Projekt VABENE (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Communication and Navigation > Communications Systems
Deposited By: Frank, Korbinian
Deposited On:29 Apr 2013 09:37
Last Modified:08 May 2014 23:28

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Copyright © 2008-2017 German Aerospace Center (DLR). All rights reserved.