Brain-computer interfaces allow people to communicate ”through and with themselves”. It is exactly by means of this interface between the brain and the computer that the brain waves are extracted from an electrode cap and transformed into control signals before being transferred to a neuroprosthesis attached to a limb; a human arm can be moved in this way, for example. The hybrid BCI plays a special role here, as Gernot Müller-Putz from the Institute for Semantic Data Analysis of the research group of Professor Christa Neuper explains, “We have reached a point in our research work where we can move away from the lab out into the clinical practice”, and goes on to say, “however, in order to be able to heal people who suffer from paraplegia, there is still a long way to go.” Rather, the aim here is to help people with a physical handicap to make their life easier through the use of BCI systems by transferring the control systems taken from the brain waves to the relevant limb in a most targeted manner.
Future research from Austria
Next Friday Gernot Müller-Putz will present a paper called “Future Directions in Hybrid Brain-Computer Interfaces” which will be held during the expert conference “The Next Step in Neuroprosthetics and Brain-Computer Interfaces”. He will elaborate on the concepts where Graz University of Technology is so successful in its BCI research. The event is hosted by the “American Association for the Advancement of Science”. The Association is the largest world-wide in the scientific field, and publisher of the highly renowned journal “Science”.
Professor Gernot R. Müller-Putz
Institute for Semantic Data Analysis
Tel: +43 (0) 316 873 5313
Mobile: +43 (0) 650 82 18 245