Emotional Stroop Task Recognition by Band-Localize Fractal Dimension Method
Fatimah Abdul Hamid1, M.N.M. Saad2, Norshakila Haris3

1Fatimah Abdul Hamid, Marine and Electrical Engineering Technology Section, Universiti Kuala Lumpur, Malaysian Institute of Marine Engineering Technology, Lumut, Malaysia.
2Mohamad Naufal Mohamad Saad, Electrical and Electronic Engineering Department, Universiti Teknologi PETRONAS, Tronoh, Malaysia.
3Norshakila Haris, Marine and Electrical Engineering Technology Section, Universiti Kuala Lumpur, Malaysian Institute of Marine Engineering Technology, Lumut, Malaysia.

Manuscript received on September 16, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 5663-5667 | Volume-8 Issue-12, October 2019. | Retrieval Number: L39921081219/2019©BEIESP | DOI: 10.35940/ijitee.L3992.1081219
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: 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.
Keywords: Arousal, Band-Localized Fractal Dimension (BLFD), Emotion, valence.
Scope of the Article: Bio-Science and Bio-Technology