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Brain–computer interfaces for communication and control
With adequate recognition and effective engagement of all issues, BCI systems could eventually provide an important new communication and control option for those with motor disabilities and might also give those without disabilities a supplementary control channel or a control channel useful in special circumstances. Expand
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. Expand
Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans.
  • J. Wolpaw, D. McFarland
  • Computer Science, Medicine
  • Proceedings 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. Expand
The BCI competition III: validating alternative approaches to actual BCI problems
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. Expand
Brain-computer interface technology: a review of the first international meeting.
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. Expand
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. Expand
A brain-computer interface using electrocorticographic signals in humans.
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. Expand
Toward enhanced P300 speller performance
By supplementing the classical P300 recording locations with posterior locations, online classification performance of P300 speller responses can be significantly improved using SWLDA and the favorable parameters derived from the offline comparative analysis. Expand
Brain-Computer Interfaces: Principles and Practice
Contributors PART I: INTRODUCTION 1. Brain-Computer Interfaces: Something New under the Sun Jonathan R. Wolpaw and Elizabeth Winter Wolpaw PART II: BRAIN SIGNALS FOR BCIs 2. Neuronal Activity inExpand
Spatial filter selection for EEG-based communication.
The results as a whole demonstrate the importance of proper spatial filter selection for maximizing the signal-to-noise ratio and thereby improving the speed and accuracy of EEG-based communication. Expand