Students
Tuition Fee
Start Date
Medium of studying
Duration
Details
Program Details
Degree
Masters
Major
Biomedical Engineering | Computer Science
Area of study
Information and Communication Technologies | Engineering
Course Language
English
About Program

Program Overview


Introduction to the Cognitive Systems Lab

The Cognitive Systems Lab is part of the Faculty 3 - Mathematics and Computer Science at the University of Bremen. The lab focuses on various research areas, including biosignals, human-machine interaction, and cognitive systems.


Teaching

The lab offers a range of courses, including:


  • Biosignals and User Interfaces
  • Automatic Speech Recognition
  • Hot Topics in Sensors and Human Activity Research (03-IMS-TSHAR)
  • Advanced Machine Learning
  • Brain Pattern Recognition
  • Seminar Bremen Big Data Challenge
  • RobARinth

Biosignals and User Interfaces

Contents

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.


Aims

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.


Language

Lecture slides are in English. The lecture, tutorial, and coursework are in German.


Course Number

The course can be found in the Modulhandbuch or on Studip with this number: 03-BB-899.11


Research

The lab's research areas include:


  • BiosignalsLab
  • Silent Speech Communication
  • Cognitive Adaptive Interaction Systems
  • Systems for People with Dementia
  • Brain Activity Modeling
  • Automatic Speech Recognition
  • Human Activity Recognition
  • sensORder: Artifact Classification during Biosignal Acquisition
  • Motion Recognition
  • Spoken Communication from Neural Signals

Team

The lab is led by:


  • Prof. Dr.-Ing. Tanja Schultz
  • Dr.-Ing. Marvin Borsdorf
  • Elisa Brau▀e, M.Sc.
  • Gabriel Ivucic
  • Lily Meister, M. Sc.
  • Dr. Dennis K³ster
  • Dr. Hui Liu
  • Rinu Elizabeth Paul
  • Dr. Felix Putze
  • Dr.-Ing. Zhao Ren
  • Anthony Richardson, M. Sc.
  • Lourenþo Abruhosa Rodrigues, M. Sc.
  • Kevin Scheck
  • Rathi Adarshi Rammohan, M.Tech.

Publications

The lab publishes its research in various formats, including:


  • Books / Journals
  • Conferences
  • Doctoral Dissertations
  • Final Theses
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