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Grove: an auxiliary device for sympathetic assessment via EDA measurement of neutral, stress, and anger emotions during simulated driving conditions

Cognition, emotion, and mood are one of the most researched topics in psychophysiological signal study. Heart rate, skin conductance, and skin temperature are popular measures of understanding autonomic nervous systems. These measures are tightly related to sympathetic and parasympathetic nervous sy...

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Main Authors: Jonathan Shi, Khai Ooi, Ahmad, Siti Anom, Ishak, Asnor Juraiza, Minhad, Khairun Nisa, Md Ali, Sawal Hamid, Yu, Zheng Chong
Format: Article
Language:English
Published: Inderscience 2018
Online Access:http://psasir.upm.edu.my/id/eprint/74468/1/Grove.pdf
http://psasir.upm.edu.my/id/eprint/74468/
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spelling my.upm.eprints.744682020-02-27T03:49:04Z http://psasir.upm.edu.my/id/eprint/74468/ Grove: an auxiliary device for sympathetic assessment via EDA measurement of neutral, stress, and anger emotions during simulated driving conditions Jonathan Shi, Khai Ooi Ahmad, Siti Anom Ishak, Asnor Juraiza Minhad, Khairun Nisa Md Ali, Sawal Hamid Yu, Zheng Chong Cognition, emotion, and mood are one of the most researched topics in psychophysiological signal study. Heart rate, skin conductance, and skin temperature are popular measures of understanding autonomic nervous systems. These measures are tightly related to sympathetic and parasympathetic nervous system, which regulates human emotion. Stress and anger affect driving task and contribute to the high number of road crashes. This study utilised electrodermal activity (EDA) to differentiate stress and anger from the neutral emotion of drivers while performing a simulated driving task. Twenty healthy subjects participated and the experiment protocol was approved by Ethics Committee for Research Involving Human Subjects, Universiti Putra Malaysia. Mean power spectral density (PSD) of EDA signals were statistically compared between emotion groups with repeated-measures ANOVA and Bonferroni post hoc test. A significant difference (p < 0.01) was observed between neutral-anger and neutral-stress groups, whereas no significant difference (p > 0.01) was noted between stress-anger groups. Promising classification accuracy was achieved between emotion groups with support vector machine (SVM) classifier at ten-fold cross-validation. Inderscience 2018 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/74468/1/Grove.pdf Jonathan Shi, Khai Ooi and Ahmad, Siti Anom and Ishak, Asnor Juraiza and Minhad, Khairun Nisa and Md Ali, Sawal Hamid and Yu, Zheng Chong (2018) Grove: an auxiliary device for sympathetic assessment via EDA measurement of neutral, stress, and anger emotions during simulated driving conditions. International Journal of Medical Engineering and Informatics, 10 (1). 16 - 29. ISSN 1755-0653; ESSN: 1755-0661 10.1504/IJMEI.2018.090076
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Cognition, emotion, and mood are one of the most researched topics in psychophysiological signal study. Heart rate, skin conductance, and skin temperature are popular measures of understanding autonomic nervous systems. These measures are tightly related to sympathetic and parasympathetic nervous system, which regulates human emotion. Stress and anger affect driving task and contribute to the high number of road crashes. This study utilised electrodermal activity (EDA) to differentiate stress and anger from the neutral emotion of drivers while performing a simulated driving task. Twenty healthy subjects participated and the experiment protocol was approved by Ethics Committee for Research Involving Human Subjects, Universiti Putra Malaysia. Mean power spectral density (PSD) of EDA signals were statistically compared between emotion groups with repeated-measures ANOVA and Bonferroni post hoc test. A significant difference (p < 0.01) was observed between neutral-anger and neutral-stress groups, whereas no significant difference (p > 0.01) was noted between stress-anger groups. Promising classification accuracy was achieved between emotion groups with support vector machine (SVM) classifier at ten-fold cross-validation.
format Article
author Jonathan Shi, Khai Ooi
Ahmad, Siti Anom
Ishak, Asnor Juraiza
Minhad, Khairun Nisa
Md Ali, Sawal Hamid
Yu, Zheng Chong
spellingShingle Jonathan Shi, Khai Ooi
Ahmad, Siti Anom
Ishak, Asnor Juraiza
Minhad, Khairun Nisa
Md Ali, Sawal Hamid
Yu, Zheng Chong
Grove: an auxiliary device for sympathetic assessment via EDA measurement of neutral, stress, and anger emotions during simulated driving conditions
author_facet Jonathan Shi, Khai Ooi
Ahmad, Siti Anom
Ishak, Asnor Juraiza
Minhad, Khairun Nisa
Md Ali, Sawal Hamid
Yu, Zheng Chong
author_sort Jonathan Shi, Khai Ooi
title Grove: an auxiliary device for sympathetic assessment via EDA measurement of neutral, stress, and anger emotions during simulated driving conditions
title_short Grove: an auxiliary device for sympathetic assessment via EDA measurement of neutral, stress, and anger emotions during simulated driving conditions
title_full Grove: an auxiliary device for sympathetic assessment via EDA measurement of neutral, stress, and anger emotions during simulated driving conditions
title_fullStr Grove: an auxiliary device for sympathetic assessment via EDA measurement of neutral, stress, and anger emotions during simulated driving conditions
title_full_unstemmed Grove: an auxiliary device for sympathetic assessment via EDA measurement of neutral, stress, and anger emotions during simulated driving conditions
title_sort grove: an auxiliary device for sympathetic assessment via eda measurement of neutral, stress, and anger emotions during simulated driving conditions
publisher Inderscience
publishDate 2018
url http://psasir.upm.edu.my/id/eprint/74468/1/Grove.pdf
http://psasir.upm.edu.my/id/eprint/74468/
_version_ 1662756490626203648
score 13.211869

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