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Human-Machine Interface

Semester: 2nd
Class hours/week: 2 lectures | 2 practices
Credits (ECTS): 4
Form of assessment: Examination grade
Course director: Dr. Luca Tóth
Course code: MSM616ANEG


In the course of Human-Machine Interface, students gain insight into development of systems implemented between human (man) - machine, machine – human (man), and how to use them, also the most important applications. Understand the detection and interpretation of neurophysiological signals for control, with particular interest to electroencephalography (EEG), electromyography (EMG), and electroneurography (ENG). Comprehesive knowledge of different control principles and sensors. Basics and application of brain - computer interface. Bionic devices and their significance in bioengineering. Robotic devices and their application. Implantable systems. Knowledge of the basic mechanisms of cerebral plasticity.


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