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Brain–computer interfaces for communication and control
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.
Toward enhanced P300 speller performance
The BCI competition 2003: progress and perspectives in detection and discrimination of EEG single trials
- B. Blankertz, K. Müller, N. Birbaumer
- Computer ScienceIEEE Transactions on Biomedical Engineering
- 24 May 2004
The BCI Competition 2003 was organized to evaluate the current state of the art of signal processing and classification methods and the results and function of the most successful algorithms were described.
Mu and Beta Rhythm Topographies During Motor Imagery and Actual Movements
Evidence that motor imagery could play an important role in EEG-based communication is supplied, and it is suggested that mu and beta rhythms might provide independent control signals.
A P300 event-related potential brain–computer interface (BCI): The effects of matrix size and inter stimulus interval on performance
A brain-computer interface for long-term independent home use
Long-term independent home use of this brain-computer interface (BCI) system is practical for severely disabled people, and can contribute significantly to quality of life and productivity.
Toward a high-throughput auditory P300-based brain–computer interface
Brain-computer interface technology: a review of the Second International Meeting.
- T. Vaughan, W. Heetderks, J. Wolpaw
- Computer ScienceIEEE transactions on neural systems and…
- 28 July 2003
This paper summarizes the Brain-Computer Interfaces for Communication and Control, The Second International Meeting, held in Rensselaerville, NY, in June 2002, which addressed current work and future plans in brain-computer interface (BCI) research.