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Brain–computer interfaces for communication and control
Brain-computer interfaces for communication and control
The brain's electrical signals enable people without muscle control to physically interact with the world through the use of their brains' electrical signals.
The BCI competition III: validating alternative approaches to actual BCI problems
- B. Blankertz, K.-R. Muller, N. Birbaumer
- Computer ScienceIEEE Transactions on Neural Systems and…
- 19 June 2006
The third BCI Competition to address several of the most difficult and important analysis problems in BCI research is organized and the paper describes the data sets that were provided to the competitors and gives an overview of the results.
Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans.
- J. Wolpaw, D. McFarland
- Biology, MedicineProceedings of the National Academy of Sciences…
- 21 December 2004
It is shown that a noninvasive BCI that uses scalp-recorded electroencephalographic activity and an adaptive algorithm can provide humans, including people with spinal cord injuries, with multidimensional point-to-point movement control that falls within the range of that reported with invasive methods in monkeys.
Brain-computer interface technology: a review of the first international meeting.
- J. Wolpaw, N. Birbaumer, T. Vaughan
- Computer ScienceIEEE transactions on rehabilitation engineering…
- 1 June 2000
The first international meeting devoted to brain-computer interface research and development is summarized, which focuses on the development of appropriate applications, identification of appropriate user groups, and careful attention to the needs and desires of individual users.
A comparison of classification techniques for the P300 Speller
The results indicate that while all methods attained acceptable performance levels, SWLDA and FLD provide the best overall performance and implementation characteristics for practical classification of P300 Speller data.
A brain–computer interface using electrocorticographic signals in humans
- E. Leuthardt, G. Schalk, J. Wolpaw, J. Ojemann, D. Moran
- Computer Science, BiologyJournal of neural engineering
- 1 June 2004
It is demonstrated here for the first time that electrocorticographic (ECoG) activity recorded from the surface of the brain can enable users to control a one-dimensional computer cursor rapidly and accurately.
Toward enhanced P300 speller performance
Brain-Computer Interfaces: Principles and Practice
The Future of BCIs: Meeting the Expectations Jonathan R. Wolpaw and Elizabeth Winter Wolpaws Index finds that BCI Therapeutic Applications for Improving Brain Function and Ethical Issues in BCI Research are becoming more important than ever.