Class: Biosignals and User Interfaces

The class "Biosignals and User Interfaces" provides an introduction to technologies that utilize different human-emitted biosignals to transfer information and thereby revolutionize the design of user interfaces. The main focus is on the interaction between humans and machines. To this end, we will first offer an overview of the spectrum of human biosignals, concentrating primarily on those signals which can be outwardly measured, such as brain activity on the scalp (Electroencephalogram - EEG), muscle activity on the skin (Electromyogram - EMG), eye activity (Electrooculogram - EOG) and parameters such as electrodermal activity, pulse and breathing frequency. Subsequently, the basics of measuring, preprocessing, recognition and interpretation of these signals will be introduced. To explain and illustrate these methods, several example applications from literature and our own research will be presented.

The lecture will be held in German. The slides, which will be made available in the courses Stud.IP area, will be in English.



Class starts on the 7th of April, 2016.

Dienstag   14:00 - 16:00   MZH 1110   Lecture (weekly)
Donnerstag   14:00 - 16:00 MZH 1110   Lecture + Exercise (weekly alternatingl)



You can find the courses Stud.IP area at


Lecture goals

Students should gain insight into the basics of the examined biosignals - their origin, measurement and interpretation and potential usefulness in human-machine interfaces. They should learn to analyze and formally describe the problems, challenges and potential of using these signals for user interfaces. To this end, students will be taught about the basic methods of measuring biosignals, signal processing and the recognition and identification of patterns using statistical methods. The current scientific state of the art will be illustrated using several example applications. After attending the lecture, students should be able to transfer these application examples to fit the requirements of new, modern user interfaces.



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Cognitive Systems Lab
Prof. Dr.-Ing. Tanja Schultz
Enrique-Schmidt-Str. 5
28359 Bremen

Phone: +49 (0) 421 218 64270