Cover Image

Emotional stroop task recognition by band-localize fractal dimension method

This study aims to investigate the association between bipolar dimension emotional model (based on band-localize fractal dimension (BLFD) feature) and Stroop colour-word test (STW). Twelve healthy participants are voluntarily took part in this study. Participants� emotion during STW test was measu...

Full description

Saved in:
Bibliographic Details
Main Authors: Hamid, F.A., Saad, M.N.M., Haris, N.
Format: Article
Published: Blue Eyes Intelligence Engineering and Sciences Publication 2019
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074031204&doi=10.35940%2fijitee.L3992.1081219&partnerID=40&md5=a788edf0d60469fe4ad49e93e3834764
http://eprints.utp.edu.my/24921/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utp.eprints.24921
record_format eprints
spelling my.utp.eprints.249212021-08-27T06:38:41Z Emotional stroop task recognition by band-localize fractal dimension method Hamid, F.A. Saad, M.N.M. Haris, N. This study aims to investigate the association between bipolar dimension emotional model (based on band-localize fractal dimension (BLFD) feature) and Stroop colour-word test (STW). Twelve healthy participants are voluntarily took part in this study. Participants� emotion during STW test was measured using a wireless electroencephalogram (EEG) sensor. Three STW sessions were introduced in this study based on different stress level induced. Alpha and beta frequency band were extracted from EEG signals using six-level wavelet decomposition. Then, BLFD features was computed based on Higuchi method. Lastly, valence and arousal levels were calculated and mapped to bipolar dimension model in estimating participant emotional states. Results showed that valence level was decreased at beginning of each session and increase towards the end of the session. On the other hand, decreasing trend was observed for arousal level at each session. © BEIESP. Blue Eyes Intelligence Engineering and Sciences Publication 2019 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074031204&doi=10.35940%2fijitee.L3992.1081219&partnerID=40&md5=a788edf0d60469fe4ad49e93e3834764 Hamid, F.A. and Saad, M.N.M. and Haris, N. (2019) Emotional stroop task recognition by band-localize fractal dimension method. International Journal of Innovative Technology and Exploring Engineering, 8 (12). pp. 5663-5667. http://eprints.utp.edu.my/24921/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description This study aims to investigate the association between bipolar dimension emotional model (based on band-localize fractal dimension (BLFD) feature) and Stroop colour-word test (STW). Twelve healthy participants are voluntarily took part in this study. Participants� emotion during STW test was measured using a wireless electroencephalogram (EEG) sensor. Three STW sessions were introduced in this study based on different stress level induced. Alpha and beta frequency band were extracted from EEG signals using six-level wavelet decomposition. Then, BLFD features was computed based on Higuchi method. Lastly, valence and arousal levels were calculated and mapped to bipolar dimension model in estimating participant emotional states. Results showed that valence level was decreased at beginning of each session and increase towards the end of the session. On the other hand, decreasing trend was observed for arousal level at each session. © BEIESP.
format Article
author Hamid, F.A.
Saad, M.N.M.
Haris, N.
spellingShingle Hamid, F.A.
Saad, M.N.M.
Haris, N.
Emotional stroop task recognition by band-localize fractal dimension method
author_facet Hamid, F.A.
Saad, M.N.M.
Haris, N.
author_sort Hamid, F.A.
title Emotional stroop task recognition by band-localize fractal dimension method
title_short Emotional stroop task recognition by band-localize fractal dimension method
title_full Emotional stroop task recognition by band-localize fractal dimension method
title_fullStr Emotional stroop task recognition by band-localize fractal dimension method
title_full_unstemmed Emotional stroop task recognition by band-localize fractal dimension method
title_sort emotional stroop task recognition by band-localize fractal dimension method
publisher Blue Eyes Intelligence Engineering and Sciences Publication
publishDate 2019
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074031204&doi=10.35940%2fijitee.L3992.1081219&partnerID=40&md5=a788edf0d60469fe4ad49e93e3834764
http://eprints.utp.edu.my/24921/
_version_ 1738656658096128000
score 13.211869

Similar Items