Seminar: Brain-Computer Interaction

Note: This page (and the content on it) is work in progress until the start of the lecture period.

Brain-Computer Interfaces (BCI) have been a widely researched topic for the last 20 years. BCIs make use of brain activity to create controls for computers or machines in general. The most common approach to establish such a connection between computer and brain is to measure the electrical activity of the brain at the scalp surface, via Electroencephalography (EEG). Those EEG devices are non-invasive, comparably cheap and can nowadays even be used with dry electrode caps, which makes them easy to setup. Within this seminar you will learn about different techniques and types of BCIs and work on EEG data that was recorded during a BCI task.

The seminar begins with introductory lectures covering various Brain-Computer Interaction (BCI) techniques, as well as the basics of EEG and BCI signal processing, which will provide the necessary foundation for your project's implementation. After indicating your topic preferences, you will be assigned to a group to conduct foundational literature research on the state-of-the-art for your specific task. Building on this research, your team will develop a conceptual overview and a general idea for how to approach the project. You will then share this in a 20-minute presentation covering the core problem, relevant background studies, and your proposed approach. Once your concept is discussed and approved, you will transition to working directly with EEG data to solve the given task. To support you, we will provide the necessary datasets, basic software components, and a tutorial on standard processing methods. The seminar will conclude with each group giving a short demonstration of their work and presenting their final results in a talk.

General Information

  • Language: English
  • Places: 10

Requirements

No formal requirements, however, basic knowledge in Python programming, Machine Learning and Signal processing might be helpful.

Organization

Dr. Maurice Rekrut (maurice.rekrut@dfki.de)

Hector Romero Morales (hector.romero_morales@dfki.de)

Taisiia Ulianova (taisiia.ulianova@dfki.de)

Prof. Dr. Antonio Krüger