Citation

Lim, Zheng You and Sim, Kok Swee and Tan, Shing Chiang (2021) Left And Right Brain Balancing Application With EEG Neurofeedback System. In: 2nd FET PG Engineering Colloquium Proceedings 2021, 1-15 Dec. 2021, Online Conference. (Unpublished)

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Abstract

In this research, the OpenBCI Mark IV EEG Headset is setup with configured EEG positions at FP1, FP2, F3, F4, F7, F8, T3 and T4. Several EEG signal preprocessing method are developed to remove the noise artifact from the EEG signal. Next, the Hermann Brain Dominance Instrument is employed to determine the brain dominance level through questionnaire method. The obtained results are then analysed with the implemented EEG Topographical Power Spectral Density Percentage (EEGTPSDP) to determine the correlation between EEG and brain dominance level. This research also involves the development of a deep neural network namely Metric Learning Based Convolutional Neural Network (MLBCNN) to classify brain dominance based on EEG signal.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Brain, dominance, electroencephalogram, deep, learning
Subjects:	Q Science > QA Mathematics > QA1-43 General
Divisions:	Faculty of Engineering and Technology (FET) Faculty of Information Science and Technology (FIST)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	26 Jan 2022 02:17
Last Modified:	26 Jan 2022 02:17
URII:	http://shdl.mmu.edu.my/id/eprint/9895

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