Students
مصاريف
تاريخ البدء
وسيلة الدراسة
مدة
حقائق البرنامج
تفاصيل البرنامج
درجة
الماجستير
تخصص رئيسي
ياباني | Computer Science
التخصص
علوم الكمبيوتر وتكنولوجيا المعلومات | الهندسة
لغة الدورة
إنجليزي
دفعات
تاريخ بدء البرنامجآخر موعد للتسجيل
2016-04-07-
عن البرنامج

نظرة عامة على البرنامج


Introduction to the Cognitive Systems Lab

The Cognitive Systems Lab is a research-focused institution that explores various aspects of human-machine interaction, including biosignals and user interfaces. The lab offers a range of courses, research opportunities, and projects that delve into the intersection of technology and human behavior.


Teaching

The lab provides teaching opportunities in various areas, 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

Biosignals and User Interfaces Course

Contents

The "Biosignals and User Interfaces" course provides an introduction to technologies that utilize different human-emitted biosignals to transfer information and 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, while the lecture, tutorial, and coursework are in German.


Schedule

The course schedule includes:


  • Start of lecture: 07.04.2016, Tuesday, 14:00 - 16:00, MZH 1110, Lecture (weekly)
  • Thursday, 14:00 - 16:00, MZH 1110, Lecture + Tutorial (alternating weekly)

Research

The Cognitive Systems Lab conducts research in various areas, including:


  • 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

Publications

The lab publishes research in various formats, including:


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