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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 |
Description
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.