A Brain-Computer Interface Project Applied in Computer Engineering

Keeping up with novel methods and keeping abreast of new applications are crucial issues in engineering education. In brain research, one of the most significant research areas in recent decades, many developments have application in both modern engineering technology and education. New measurement...

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Bibliographic Details
Published in:IEEE transactions on education 2016-11, Vol.59 (4), p.319-326
Main Authors: Katona, Jozsef, Kovari, Attila
Format: Article
Language:English
Subjects:
Active Learning
Attention
Biosensors
Brain
Brain Hemisphere Functions
Brain research
Brain–computer interface (BCI)
Computer engineering
Computer Interfaces
Computer Science Education
Computer Software
Computers
Control systems
Diagnostic Tests
Education
electroencephalogram (EEG)
Electroencephalography
Electronic Equipment
Engineering Education
Engineering Technology
Foreign Countries
Human-computer interface
Instructional Effectiveness
Likert Scales
Observation
project-based learning (PjBL)
Questionnaires
Signal processing
Statistical Analysis
Student Attitudes
Student Projects
Student Surveys
Teaching Methods
Test Results
Undergraduate Students
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Summary:Keeping up with novel methods and keeping abreast of new applications are crucial issues in engineering education. In brain research, one of the most significant research areas in recent decades, many developments have application in both modern engineering technology and education. New measurement methods in the observation of brain activity open a new frontier in engineering applications. Electroencephalogram (EEG)-based brain activity observation processes are very promising and have been used in several engineering studies, primarily for the implementation of control tasks. This paper presents the development, implementation, and assessment of an EEG-based engineering education project, in which engineering students applied the theory they had learned and improved their knowledge and skills in the area of observation and evaluation of electrical signals generated by brain activity and measured by biosensors. The main project goal was to develop and test a brain-computer interface that is able to measure the average attention level. The effectiveness of this project-based learning was evaluated by student questionnaire responses and analysis of students' exam results; students who had participated in the project were shown to have higher levels of acquired knowledge.
ISSN:0018-9359
1557-9638
DOI:10.1109/TE.2016.2558163