Educational Model Based on Hands-on Brain-Computer Interface: Implementation of Music Composition Using EEG

Pei-Chi Hu, Po-Hao Chen, Po-Chih Kuo

Abstract: Technological advancements are producing profound changes in educational models. This has principally manifested as a move away from textbooks to hands-on instruction, which has been shown to make learning more enjoyable and effective. Brain-computer interfaces (BCIs) based on electroencephalography (EEG) have been used in medical applications and as controllers in video games; however, these devices have not yet been used for educational purposes at the high-school level due to the cost of these devices and the lack of teachers trained in their use. In this study, we developed a hands-on educational model in which students learn how to design and build their own BCI system. They also learn to program the device through the analysis of EEG data and transform the signals into suitable outputs. Finally, the students implement their BCI system by measuring their own brain activity. This paper also examines a practical implementation of the system involving an EEG-generated composition of music. A questionnaire survey of students indicated that they enjoyed the hands-on BCI course and were highly motivated to actively engage in it.