BCI Demographics: How Many (and What Kinds of) People Can Use an SSVEP BCI?

Abstract

Brain-computer interface (BCI) systems enable communication without movement. It is unclear why some BCI approaches or parameters are less effective with some users. This study elucidates BCI demographics by exploring correlations among BCI performance, personal preferences, and different subject factors such as age or gender. Results showed that most people, despite having no prior BCI experience, could use the Bremen SSVEP BCI system in a very noisy field setting. Performance tended to be better in both young and female subjects. Most subjects stated that they did not consider the flickering stimuli annoying and would use or recommend this BCI system. These and other demographic analyses may help identify the best BCI for each user.

Using a motor imagery questionnaire to estimate the performance of a Brain–Computer Interface based on object oriented motor imagery

“…The latter are often called BCI 'illiterate' [Guger et al 2003, Blankertz et al 2006. BCI 'illiteracy' is a common problem in BCI not restricted to MI paradigms [Daum et al 1993, Guger et al 2003, Guger et al 2009, Allison et al 2010. Each type of BCI systems has its own 'illiterates' and approaches to analyse the problem of 'illiteracy' depends on the underlying neurophysiologic phenomena.…”

Transfer Learning for SSVEP Electroencephalography Based Brain–Computer Interfaces Using Learn++.NSE and Mutual Information

“…CCA may not be suitable if the recorded EEG does not show distinguishable features corresponding to different flickering stimuli [9,10]. In our own data, we observed scenarios of atypical EEG that violated CCA assumptions that cause the maximum correlation score to always be selected.…”

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