Mental Task Design Based on EEG Signal for Brain Computer Interface System

Authors

  • Tan Tian Swee Universiti Teknologi Malaysia
  • Ngeu Chee Hau Southern University College, Malaysia
  • Jahanzeb Sheikh Universiti Teknologi Malaysia
  • Matthias Tiong Foh Thye Universiti Teknologi Malaysia
  • Leong Kah Meng Southern College University, Malaysia

DOI:

https://doi.org/10.11113/humentech.v2n1.38

Keywords:

BCI, Cyton, Mental activity, Mental task, Wheelchair, Assistive device

Abstract

Abstract:

Brain computer interface (BCI) system empowers command over external device by retrieving brain waves and interpreting them into machine instructions. The system utilizes electroencephalogram (EEG) for receiving, processing and classifying signals to control by means of brain generated signals. The paper focused on mental task designs for BCI by acquiring the signals generated by mental activity using EEG comb electrodes, placed over three-dimensional (3D) printed headset. The experiment involved the blinking of left and right eyes for the forward and backward movements of the prototype wheelchair. The experimental measurement was performed using a Cyton board where the information was transmitted through Bluetooth which were later processed and translated to the wheelchair to perform activities. The system has successfully achieved the real time control of an assistive device by using signals from the brain.

Author Biographies

Tan Tian Swee, Universiti Teknologi Malaysia

Tan Tian Swee received both his M.Sc. degree and Doctorate de- gree back in the year 2004 and 2008, respectively, from the Universiti Teknologi Malaysia. His research area encompasses the area of Digital Signal Processing and has published in numerous high impact factor journals, thus establishing his ex- pertise in the domain. He has spearheaded numerous projects and has acquired prestigious grants from various sources, and one of his current notable mile- stones is the collaboration between UTM and IJN. He is currently work- ing as Associate Professor at the Faculty of Biomedical Engineering, UTM, and also serves as a Director in the Faculty of Biomedical Engineering. His additional portfolio includes being a member of the Medical Device and Technology Group (MediTEG) and Frontier Materials research alliances.

Ngeu Chee Hau, Southern University College, Malaysia

Ngeu Chee Hau @ Yeo Chee completed his diploma in electrical and electronic engineering from Southern University College, Johor, Malaysia. He is currently working as Research Assistant under Prof. Madya. Ir. Dr. Tan Tian Swee at Universiti Teknologi Malaysia, Malaysia. He has expertise in the programming language and electronic and hardware development.

Matthias Tiong Foh Thye, Universiti Teknologi Malaysia

Matthias Tiong Foh Thye is currently pursuing the Ph.D degree in biomedical engineering at Universiti Teknologi Malaysia. He received his B. Eng (Electrical - Engineering) degree from Universiti Teknologi Malaysia (UTM), Johor, Malaysia in 2018. His research interest covers wireless power transfer, medical device, electromagnetic safety, biomedical image processing, deep learning and control system.

Leong Kah Meng, Southern College University, Malaysia

Leong Kah Meng is a lecturer in Southern University College. He is currently pursuing the Ph.D degree in biomedical engineering at Universiti Teknologi Malaysia. He received his Master (Bio-engineering) from Universiti Teknologi Malaysia (UTM), Johor, Malaysia in 2017 and his B. Eng (Electrical - Engineering) degree from Universiti Teknologi Malaysia in 2013. His research interest covers wireless power transfer, medical device, electromagnetic safety, biomedical image processing, deep learning and control system.

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Published

06-02-2023

How to Cite

Tan, T. S., Ngeu , C. H., Sheikh, J., Tiong Foh Thye, M., & Leong, K. M. (2023). Mental Task Design Based on EEG Signal for Brain Computer Interface System. Journal of Human Centered Technology, 2(1), 26–31. https://doi.org/10.11113/humentech.v2n1.38

Issue

Vol. 2 No. 1 (2023): HumEnTech

Section

Articles

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