“And now: A world premier…” was the announcement made by Stefan Raab, the host of the German late night show “TV total”, as members of Team PhyPA, our group of Brain-Computer Interface (BCI) research from the Department of Biological Psychology and Neuroergonomics at Berlin Institute of Technology, entered the stage.
This article reviews research at the University of Houston on the design of non-invasive and reliable brain-machine interface (BMI) systems for the control of powered exoskeletons for restoration and rehabilitation of gait in persons with paraplegia and other forms of paralysis.
The 6th Int. BCI Conference took place from September 16 – 19, 2014 (Graz University of Technology, Austria). This year’s conference theme was “The Future of Brain-Computer Interaction: Basics, Shortcomings, Users”. About 200 researchers from 35 nations participated; Brain Products sponsored Best Talk and Best Poster Awards.
Passive Brain-Computer Interfaces provide a fascinating technology that can be applied to significantly improve Human-Computer Interaction. The young community of this research field held its first meeting in July this year, providing a fascinating, promising perspective on the potential of this technology.
Cybathlon 2016 is a championship dedicated to racing pilots with disabilities using advanced assistive devices in various competitions. Being one of the sponsors of the event, Brain Products will support 5 teams entering the “BCI Race” as part of the Cybathlon by providing hard- and software equipment as well as comprehensive technical expertise at no charge. As an added bonus, the highest ranked team sponsored by Brain Products will be awarded with the full set of equipment that has been made available to the team.
On June 12, 2014, Juliano Pinto wore a robotic suit that allowed him to symbolically kick off the 2014 FIFA World Cup in Brazil. We at Brain Products are proud to have contributed to this magic moment as Juliano stepped out onto the field, wearing the actiCAP and mind-controlling the heavy exoskeleton.
Currently there is a tendency to more and more use EEG not only for clinical analysis but also for Brain-Computer Interfaces (BCIs) for disabled people, for gaming, or for supervision, e.g, during driving. Here, it is important to know how many sensors are needed, and how they should be placed. This enables an easy setup of the electrode cap with reduced resources, while at the same time maintaining the system’s performance. The summarized article deals with this topic and introduces and compares several methods to choose relevant electrodes (sensors).