BCI Demographics: How Many (and What Kinds of) People Can Use an SSVEP BCI?
- 15 January 2010
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Neural Systems and Rehabilitation Engineering
- Vol. 18 (2), 107-116
- https://doi.org/10.1109/tnsre.2009.2039495
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.Keywords
This publication has 34 references indexed in Scilit:
- P300 Chinese input system based on Bayesian LDABiomedizinische Technik/Biomedical Engineering, 2010
- Evaluation of the Bremen SSVEP based BCI in real world conditionsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2009
- Comparison of DFT and lock-in amplifier features and search for optimal electrode positions in SSVEP-based BCIJournal of Neuroscience Methods, 2008
- Performances Evaluation and Optimization of Brain Computer Interface Systems in a Copy Spelling TaskIEEE Transactions on Neural Systems and Rehabilitation Engineering, 2007
- A practical VEP-based brain-computer interfaceIEEE Transactions on Neural Systems and Rehabilitation Engineering, 2006
- Effects of SOA and flash pattern manipulations on ERPs, performance, and preference: Implications for a BCI systemInternational Journal of Psychophysiology, 2006
- Steady-State VEP-Based Brain-Computer Interface Control in an Immersive 3D Gaming EnvironmentEURASIP Journal on Advances in Signal Processing, 2005
- Imagery of motor actions: Differential effects of kinesthetic and visual–motor mode of imagery in single-trial EEGCognitive Brain Research, 2005
- Design and implementation of a brain-computer interface with high transfer ratesIEEE Transactions on Biomedical Engineering, 2002
- A spelling device for the paralysedNature, 1999