title: Toward BCI Wizard - best BCI approach for each user.
abstract: Modern brain-computer interface (BCI) systems use different types of neural activity for control. Most BCI systems only allow the customization of very few parameters and focus only on one type of BCI approach. Many articles reported that a certain BCI did not work for some users (so called BCI illiteracy). We are introducing the BCI wizard as a system that automatically identifies key parameters to customize the best BCI paradigm for each user. With a BCI wizard it is possible to develop an interface that relies on the best mental strategy for each user and therefore makes the difference between an ineffective system and a working BCI. This work presents a preliminary study that aims to develop a BCI wizard exploring the two most effective BCI approaches (SSVEP and P300). These types of non-invasive BCIs were tested and evaluated in a group of 14 healthy subjects. During online tests all subjects were asked to spell three words with two spelling applications and at the end of the experiment they chose their preferred approach. Results showed that all subjects could communicate with the P300-based BCI with an accuracy above 69% (5 reached 100% accuracy), 10 out of 14 subjects could effectively use the SSVEP-based BCI (2 reached 100% accuracy). These promising results confirm that BCI wizard will enable BCIs customized to each user with considerably greater flexibility and independence than present systems allow.
authors.affiliation: Institute of Automation (IAT), University of Bremen, 28359, Germany. volosyak@iat.uni-bremen.de
authors.forename: Ivan
authors.initials: I
authors.lastname: Volosyak
authors.forename: Christoph
authors.initials: C
authors.lastname: Guger
authors.forename: Axel
authors.initials: A
authors.lastname: Graser
mesh_terms: D000328:Adult; D001921:Brain / Q000502:physiology*; D003201:Computers; D005260:Female; D006801:Humans; D008297:Male; D008328:Man-Machine Systems; D012016:Reference Values