Journal of JSEE
Online ISSN : 1881-0764
Print ISSN : 1341-2167
ISSN-L : 1341-2167
Case study
Enhancing External Lecture of Brain-Machine Interface
Akinari ONISHI
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2025 Volume 73 Issue 5 Pages 5_165-5_171

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Abstract
The author has organized external lectures on Brain-Machine Interface (BMI) since 2021. Although programming skills are essential for developing BMIs, those lectures did not include any programming instruction. This paper reports on the enhanced external lecture of the BMI, which included Python signal processing programming. Since participants were new to text programming languages, the lecture was designed so that text programming could be experienced without deep expertise. The rate of satisfaction and opinion of the lecture were gathered by a questionnaire. Four pairs of junior high-school students participated in this lecture. They experienced EEG measurements and Python programming successfully. The questionnaire indicated that all participants were satisfied or somewhat satisfied with this entire lecture.
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© 2025 Japanese Society for Engineering Education
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