Welcome to KlaesLab

led by Christian Klaes

The KlaesLab specializes in exploring the intersection between biological and artificial systems. Professor Klaes holds the professorship for neurotechnology at the Ruhr-University Bochum. He is an expert in human and monkey brain-computer interfaces, both invasive and non-invasive. Currently, the lab is focused on using state-of-the-art machine learning approaches for brain-machine interfaces to control devices, developing advanced neural analysis methods to control human hand exoskeletons, and conducting virtual reality research. The lab uses VR, EEG, and invasive neural recordings from humans, providing a wide range of research opportunities. The lab has a broad network of collaborations within Ruhr-University Bochum, as well as with external partners such as Caltech, Ruhr University of Applied Sciences (Iossifidis Lab), German Primate Center, University of Coimbra, Snap Gmbh, and many others.

Klaes Team

News and Events

06.11.2024

 

Your body is probably more flexible than you think.

A new paper from our lab at Communications: Psychology!

17.09.2024

 

It’s slightly more than a week remaining to our awesome conference VRS24.

Come and join us at O-Werk!

22.08.2024

This summer we had a guest postdoc from Brazil: Caroline Pires Alavez Moraes visited our lab thanks to a RUB Research School scholarship. She is interested in our BCI work and we were really happy to work together. Thanks Caroline, we are looking to seeing you back!

22.07.2024

 

Last year, Constantin Sinaschuk and his team won our VRS23 Hackathon by creating a mobility solution for paralyzed people in virtual reality. RUB News Portal just wrote a piece about this:

 

https://news.rub.de/transfer/2024-07-18-virtual-reality-ich-bin-suechtig-nach-der-challenge-geworden

©RUB

 

20.06.2024

 

We are hiring!

We need a research assistant to help us develop our game for AI-supported neurological diagnosis.

Click the image for more info!

18.05.2024

We will be at ESCAN 2024 conference in Ghent, talking about Phantom Touch Illusion. Come by!

 

10.05.2024

 

Check out the new paper from our lab by Susanne Dyck who showed beta oscillations being a good proxy for implicit learning processes.

17.04.2024

Prof. Dr. Christian Klaes has been awarded the IOP Trusted Reviewer status.

The ‘IOP Trusted Reviewer’ status indicates a high level of peer review competence and the ability to constructively critique scientific literature to an exceptional standard.

IOP

Awarded by IOP Publishing on April 17th, 2024

01.12.2023

We will be at the HumanTech Summit Conference from December 9-10 at the SWPS University.
Prof Klaes is giving a Keynote on Virtual Bodies at day one. We will be happy to see you there, in person or online!

Key research areas

We currently focus on the use of virtual reality in simulating human interactions with environment, brain-machine interfaces in control of devices, collaborative robotics, novel methods for assessment of brain activity and designing advanced neural analysis methods for controlling human hand exoskeleton.

The use of virtual reality for diagnostics of neurological disorders

We develop a standardized test for diagnosing motor function disorders in Virtual Reality (VR). We use modern Machine Learning (ML) algorithms, such as deep learning, in the context of diagnosis and therapy of neurological diseases with hand and arm dysfunctions.

Neural signal processing using artificial intelligence on an embedded platform

The aim of this project is to develop an end-to-end neural processing pipeline that implements online algorithms for spike sorting and neural decoding using analogue and digital embedded hardware. This pipeline is a fundamental building block for the development of the next generation of neural implants. The system relies on state-of-the-art machine learning algorithms to decode movement intentions from brain activity. In parallel, we will optimise a neural decoder based on deep learning methods.

Smart upper-limb exoskeleton

We are interested in developing a key component –a bio-mechanically designed, adaptive exoskeleton for the upper extremity — to explore and enable patients with arm and grip function impairment due to various neurological diseases in their journey of rehabilitation. The exoskeleton is a holistic rehabilitation system that includes the design and implementation of movement tasks in VR, a feedback system based on biosignals and a generic decoder for invasive and non-invasive brain-computer interfaces.

Collaborative robotics

Together with Ruhr University for Applied Sciences, University of Coimbra and University of Madeira, we develop a framework for trustful and efficient motor collaboration between humans and robotic agents. We use human biomarkers as a proxy of human state in order to adaptively guide actions of the collaborative robot.

Terahertz

We apply terahertz radiation to discover novel methods for imaging brain activity for future brain-machine interfaces.

If you are interested in our projects and/or working with us,

please visit our project page and reach out to us.

 

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