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 FHWS pursues two innovative approaches: control by muscle contraction (EMG) and the recording of brain activity using functional near-infrared spectroscopy (fNIRS).
At FHWS, 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.
- Ulsamer, P., Fertig, T., Kraus, M., Pfeffel, K. & Müller, N.H. (2020). Motor imagery to control mobile applications – a FNIRS study.
Maximilian Kraus, 3rd semester of the Information Systems Master’s
Supervised by: Prof. Dr. Nicholas Müller