The EEG Brain Signal Pattern Analysis During Touching Learning of the Blind and Normal People via a Low-cost Device

Authors

  • Wachira Lawpradit Department of Information Technology, Mae Fah Luang University, Chiang Rai, Thailand https://orcid.org/0000-0003-4657-2357
  • Thongchai Yooyativong Department of Information Technology, Mae Fah Luang University, Chiang Rai, Thailand
  • Roungsan Chaisricharoen Department of Information Technology, Mae Fah Luang University, Chiang Rai, Thailand

DOI:

https://doi.org/10.13052/jmm1550-4646.18613

Keywords:

Electroencephalogram, EEG, brain computer interface, BCI, blinded people, touching learning, EEG pattern

Abstract

This research was designed for analyse and compare patterns of EEG signals while blinded and normal people performing touching-leaning. The pattern analysis focuses on important EEG wavebands during touching, such as delta, theta, alpha and gamma waveband. The EEG waveband-datasets were detected and recorded with inexpensive device, the NeuroSky Mindwave, where it is connected to a computer for data analysis through Bluetooth communication and had electric noise reduction chipset inside. The analysis for the EEG waveband pattern-comparisons is performed by utilizing waveband power spectrum and statistical technique based on FFT algorithm, Area Under Curve (AUC), mean, S.D., T-score, and P-value testing. The experiment shown that dominant EEG signal wavebands of blinded people when touching-learning are delta, theta, alpha and gamma. These wavebands were higher than normal people. Moreover, by using statistical analysis T-score and P-values testing, analyzed results illustrate that normal and blinded people EEG wave patterns are significantly different on gamma waveband where blinded people have significantly higher gramma wave during touching-learning activities. The objects used for touching-leaning in the experiments are square, triangle, circle, and hexagon shape of tactile pictures. The observation also shown that blinded people use their muscle in movement more than normal people which also strongly related to gramma wave. In addition, another wave did not relate to statistic significant. This result illustrated to normal and blinded people thinking and imagination with the same pattern.

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Author Biographies

Wachira Lawpradit, Department of Information Technology, Mae Fah Luang University, Chiang Rai, Thailand

Wachira Lawpradit received the bachelor’s degree in computer science from Mae Fah Luang University in 2006, the master’s degree in Internet and Information Technology from Naresuan University in 2008. Respectively. He is working as lecturer at the Department of Computer Information System, Faculty of Business and Liberal Art, Rajamangala University of Technology Lanna Lampang. His research areas include brain computer interfacing, geometric information system, management information system and community-based research.

Thongchai Yooyativong, Department of Information Technology, Mae Fah Luang University, Chiang Rai, Thailand

Thongchai Yooyativong has received a Ph.D. degree in Electrical Engineering from Colorado State University, USA. Currently, he is a senior lecturer at School of Information Technology, Mae Fah Luang University, Thailand. He used to be a Vice President of Mae Fah Luang University and Dean of School of Information Technology. At Mae Fah Luang University, he has been involving in many projects concerning rural area developments such as the Tele-centre for rural education and rural area development, the digital ancient city: Chiang Saen Project, the IT entrepreneur development in Chiang Rai Province, and IoT for smart farming.

Roungsan Chaisricharoen, Department of Information Technology, Mae Fah Luang University, Chiang Rai, Thailand

Roungsan Chaisricharoen received his Ph.D. degree in 2009 from the Department of Computer Engineering, King Mongkut’s University of Technology Thonburi, Thailand. He is an Assistant Professor of Computer Engineering at the School of Information Technology, Mae Fah Luang University, Thailand. He is now the chairperson of both the Master and Ph.D. programs in Computer Engineering. His research interests are Computational intelligence, data communication, optimization, application of ICT in agriculture, embedded system, and Analogue integrated circuits.

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Published

2022-07-18

Issue

Section

Multimedia Data and Applications on the Next Generation Communication