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.

Research Areas

• BiosignalsLab
• Silent Speech Communication
  • CSL-EMG_Array Corpus
• 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

Teaching

The lab offers various courses, including:

• Theses and more
• Winter semester 2024/25
• Winter semester 2022/23
  • Automatic Speech Recognition
  • Hot Topics in Sensors and Human Activity Research (03-IMS-TSHAR)
• Summer Semester 2022
  • Advanced Machine Learning (Kopie 1)
  • Biosignals and User Interfaces
  • Tutorial: Brain Pattern Recognition
• Winter semester 2021/22
  • Tutorial: Brain Pattern Recognition
• Summer Semester 2021
  • Seminar Bremen Big Data Challenge
  • Tutorial: Brain Pattern Recognition
  • Biosignals and User Interfaces
  • RobARinth
  • Advanced Machine Learning
• Winter semester 2020/21
• Summer semester 2020
  • Biosignals and User Interfaces
  • Tutorial: Brain Pattern Recognition
  • Seminar Bremen Big Data Challenge
• Winter Semester 2019/20
  • Tutorial: Brain Pattern Recognition
  • Sensordatenverarbeitung (SdV)
  • HoloAI
  • BOWSR2.0 – Build your Own Web-based Speech Recognizer
  • Automatische Spracherkennung (ASR)
• Summer Semester 2019
  • Tutorial: Brain Pattern Recognition
  • Biosignals and User Interfaces
  • Master-Projekt: "Build your Own Web-based Speech Recognizer 2.0" (BOWSR 2.0)
  • Seminar Bremen Big Data Challenge
• Winter Semester 2018/19
  • Tutorial: Brain Pattern Recognition
  • Bachelor-Projekt: "Build your Own Web-based Speech Recognizer" (BOWSR)
  • Master Project: I spy with my little eye
  • Class: Automatic Speech Recognition
• Summer Semester 2018
  • Seminar Bremen Big Data Challenge
  • Selected problems of cognitive systems
  • Biosignals and User Interfaces
  • Fundamentals of Machine Learning
  • Tutorial: Brain Pattern Recognition
• Winter Semester 2017/18
  • Class: Automatic Speech Recognition
  • Tutorial: Brain Pattern Recognition
  • Seminar: Selected problems in cognitive systems
• Summer Semester 2017
  • Biosignals and User Interfaces
  • Seminar Bremen Big Data Challenge
• Winter Semester 2016/17
  • Class: Automatic Speech Recognition
  • Bachelor Project: Biosignal-based Butler
• Summer Semester 2016
  • Biosignals and User Interfaces
  • Seminar Bremen Big Data Challenge
• Winter Semester 2015/16
  • Class: Automatic Speech Recognition

Course Details: 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

Team

The Cognitive Systems Lab team includes:

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