DocumentCode
628295
Title
Profiling visual and verbal stress responses using electrodermal heart rate and hormonal measures
Author
Bouarfa, Loubna ; Bembnowicz, Pawel ; Crewther, Blair ; Jarchi, Delaram ; Yang, Guang-Zhong
Author_Institution
The Hamlyn Centre, Department of Computing, Imperial College Londo, London, United Kingdom
fYear
2013
fDate
6-9 May 2013
Firstpage
1
Lastpage
7
Abstract
Assessing psychological stress is essential for monitoring general health and wellbeing. One key element is the detection of the stimulus, i.e., stressor that evokes a stress response. Visual and verbal stimuli are elementary arousal elements of daily stress responses. The study aim was to discriminate the stress responses from watching videos and speaking using electrodermal activity (EDA) and heart rate variability (HRV) measures. A cohort of 12 subjects completed a laboratory experiment comprising of 4 psychological tasks (watching a relaxing video and a violent video, speaking by counting and speaking on an unknown topic). In total, 17 physiological features were calculated from the EDA and HRV signals. Four classifiers were investigated regarding their ability to discriminate between verbal and visual stimulated stress responses with a maximum accuracy of 92% achieved. This demonstrates that the measured signals have potential for tracking and differentiating the stress responses of watching videos or speaking in real-time by using wearable EDA and HRV devices.
Keywords
Feature extraction; Heart rate variability; Psychology; Sensors; Stress; Videos; EDA; HRV; classification; hormones; stress;
fLanguage
English
Publisher
ieee
Conference_Titel
Body Sensor Networks (BSN), 2013 IEEE International Conference on
Conference_Location
Cambridge, MA, USA
ISSN
2325-1425
Print_ISBN
978-1-4799-0331-3
Type
conf
DOI
10.1109/BSN.2013.6575481
Filename
6575481
Link To Document