Brain-computer interface technology: a review of the first international meeting.

@article{Wolpaw2000BraincomputerIT,
  title={Brain-computer interface technology: a review of the first international meeting.},
  author={Jonathan R. Wolpaw and Niels Birbaumer and William J. Heetderks and Dennis J. McFarland and P. Hunter Peckham and Gerwin Schalk and Emanuel Donchin and Louis A. Quatrano and Charles J. Robinson and T. M. Vaughan},
  journal={IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society},
  year={2000},
  volume={8 2},
  pages={
          164-73
        }
}
  • J. Wolpaw, N. Birbaumer, +7 authors T. Vaughan
  • Published 2000
  • Computer Science, Medicine
  • IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Over the past decade, many laboratories have begun to explore brain-computer interface (BCI) technology as a radically new communication option for those with neuromuscular impairments that prevent them from using conventional augmentative communication methods. BCI's provide these users with communication channels that do not depend on peripheral nerves and muscles. This article summarizes the first international meeting devoted to BCI research and development. Current BCI's use… Expand
Brain-computer interface technology: a review of the Second International Meeting.
  • T. Vaughan, W. Heetderks, +9 authors J. Wolpaw
  • Computer Science, Medicine
  • IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
  • 2003
TLDR
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. Expand
Chapter 64 Brain-computer interfaces (BCIs) for communication and control: a mini-review
Publisher Summary This chapter discusses various brain–computer interfaces (BCIs) used for communication and control. BCIs currently under development determine the user's intent from a variety ofExpand
Brain – Computer Interfaces : The New Landscape in Assistive Technology
A brain–computer interface (BCI) provides a direct connection between the brain and an external device, such as a computer or any other system capable of receiving a signal. In June 1999, the FirstExpand
Brain Computer Interfaces, a Review
TLDR
The state-of-the-art of BCIs are reviewed, looking at the different steps that form a standard BCI: signal acquisition, preprocessing or signal enhancement, feature extraction, classification and the control interface. Expand
Brain-computer interfaces (BCIs) for communication and control
  • J. Wolpaw
  • Computer Science, Medicine
  • Assets '07
  • 2007
TLDR
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
The Berlin Brain-Computer Interface: Report from the Feedback Sessions
TLDR
The Berlin Brain-Computer Interface (BBCI) uses well established motor competences in control paradigms and a machine learning approach to extract subject-specific discriminability from high-dimensional features and its adaptivity which respects the enormous inter-subject variability. Expand
Brain–computer interfaces for communication and control
TLDR
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
Landscape in Assistive Technology
A brain–computer interface (BCI) provides a direct connection between the brain and an external device, such as a computer or any other system capable of receiving a signal. In June 1999, the FirstExpand
Brain-computer interfaces: an overview of the hardware to record neural signals from the cortex.
TLDR
Major approaches from the USA and Europe will be introduced and compared concerning complexity, modularity, and reliability and an assessment of the different technological solutions comparable to a strength weaknesses opportunities, threats, and threats might serve as guidance to select the adequate electrode array configuration for each control paradigm and strategy. Expand
The BCI competition 2003: progress and perspectives in detection and discrimination of EEG single trials
TLDR
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. Expand
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 58 REFERENCES
Design of an EEG-based Brain-Computer Interface (BCI) from Standard Components running in Real-time under Windows - Entwurf eines EEG-basierten Brain-Computer Interfaces (BCI) mit Standardkomponenten, das unter Windows in Echtzeit arbeitet
TLDR
The selection of the appropriate components to construct a low-cost EEG-based brain-computer interface is described and the selection of a suitable programming language and operating system is focused on. Expand
A natural basis for efficient brain-actuated control.
  • S. Makeig, S. Enghoff, T. Jung, T. Sejnowski
  • Computer Science, Medicine
  • IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
  • 2000
TLDR
It is demonstrated using data from a visual selective attention task that ICA-derived mu-components can show much stronger spectral reactivity to motor events than activity measures for single scalp channels, and would appear to form a natural basis for operant conditioning to achieve efficient and multidimensional brain-actuated control in motor-limited and locked-in subjects. Expand
Brain-computer interface research at the Wadsworth Center.
  • J. Wolpaw, D. McFarland, T. Vaughan
  • Psychology, Computer Science
  • IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
  • 2000
TLDR
This EEG-based brain-computer interface (BCI) could provide a new augmentative communication technology for those who are totally paralyzed or have other severe motor impairments. Expand
Work toward real-time control of a cortical neural prothesis.
  • R. E. Isaacs, D. Weber, A. Schwartz
  • Psychology, Medicine
  • IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
  • 2000
TLDR
The real-time interpretation of cortical activity on a millisecond time scale provides an integral first step in the development of a direct brain-computer interface (BCI). Expand
Design and operation of an EEG-based brain-computer interface with digital signal processing technology
TLDR
Digital signal processing technology provides the speed and flexibility needed to satisfy the requirements of real-time EEG analysis in real time, and supports evaluation of alternative analysis and control algorithms, and thereby facilitates further BCI development. Expand
Linear classification of low-resolution EEG patterns produced by imagined hand movements.
  • F. Babiloni, F. Cincotti, +6 authors M. Marciani
  • Computer Science, Medicine
  • IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
  • 2000
TLDR
The results obtained in the first year of an European project named adaptive brain interfaces suggest that the detection of mental imagined activity can be obtained by using the signal space projection (SSP) method as a classifier and a particular type of electrodes can be used in such a BCI device, reconciling the benefits of SL waveforms and the need for the use of few electrodes. Expand
The effects of self-movement, observation, and imagination on mu rhythms and readiness potentials (RP's): toward a brain-computer interface (BCI).
  • J. Pineda, B. Allison, A. Vankov
  • Psychology, Medicine
  • IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
  • 2000
TLDR
In one study, it is reported that the mu rhythm is not only modulated by the expression of self-generated movement but also by the observation and imagination of movement. Expand
Current trends in Graz Brain-Computer Interface (BCI) research.
  • G. Pfurtscheller, C. Neuper, +5 authors M. Pregenzer
  • Computer Science, Medicine
  • IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
  • 2000
This paper describes a research approach to develop a brain-computer interface (BCI) based on recognition of subject-specific EEG patterns. EEG signals recorded from sensorimotor areas during mentalExpand
Direct control of a computer from the human central nervous system.
TLDR
An invasive alternative to externally applied brain-computer interface devices requires implantation of a special electrode into the outer layers of the human neocortex to control the cursor for the production of synthetic speech and typing. Expand
Chronic recording capability of the Utah Intracortical Electrode Array in cat sensory cortex
TLDR
Results of the reported experiments indicate that the UIEA can be successfully used for limited times in a chronic recording application, and could form the platform for a cortical neuroprosthetic system. Expand
...
1
2
3
4
5
...