Alternative HMI using EMG and fNIRS

What’s it about?

Human-computer interaction can take place via mouse, keyboard and gesture control. Progress in the fields of neuroscience, medicine and bio-informatics is leading to the testing of alternative interfaces for controlling computers for patients with limited motor functions.

The socio-informatics research professor at THWS pursues two innovative approaches: control by muscle contraction (EMG) and the recording of brain activity using functional near-infrared spectroscopy (fNIRS).

At THWS, human-computer interfaces are developed and tested how they are to be evaluated with regard to usability and potential for mobile applications in the consumer sector.

Publications

• Ulsamer, P., Fertig, T., Kraus, M., Pfeffel, K. & Müller, N.H. (2020). Motor imagery to control mobile applications – a FNIRS study.

Who’s involved?

Maximilian Kraus, 3rd semester of the Information Systems Master’s

Supervised by: Prof. Dr. Nicholas Müller