X. Cognitive Information Processing

Course Purpose
The purpose of this exercise course is to practice measurement of biological signals from living organisms as an example of electroencephalogram measurement and to learn about communication between instruments, such as serial communication, using Python. Following this, students will build a basic brain-computer interface, and control the assembled robot using brain waves.
Learning Goals
Students will learn the basics of biological measurements and control technology of electronic equipment by developing a brain-computer interface.
Topic
Session 1R1 Guidance, Python and IOT, BCI
Session 2R2 Communication and Python
Session 3R3 Serial communication 1 (Communication standard)
Session 4R4 Serial communication 2 (ASCII code)
Session 5R5 Python programming and instrument control
Session 6R6 Controlling a robot 1
Session 7R7 Controlling a robot 2
Session 8R8 Controlling a simple electroencephalograph 1 (Electroencephalograph communication specifications)
Session 9R9 Controlling a simple electroencephalograph 2 (Controlling an electroencephalograph in practice)
Session 10R10 Controlling a simple electroencephalograph 3 (Overall design)
Session 11R11 Controlling a simple electroencephalograph 4 (Processing electroencephalogram data)
Session 12R12 Analyzing EEG (Sampling theorem, FFT)
Session 13R13 Creating a BCI 1 (Measuring EEG and developing features of interest)
Session 14R14 Creating BCI 2 (Towards completion)
＊＊This content is based on April 1, 2025. For the latest syllabus information and details, please check the syllabus information inquiry page provided by the university.＊＊