How many people are able to control a P300-based brain–computer interface (BCI)?

@article{Guger2009HowMP,
  title={How many people are able to control a P300-based brain–computer interface (BCI)?},
  author={Christoph Guger and Shahab Daban and Eric W. Sellers and Clemens Holzner and Gunther Krausz and Roberta Carabalona and Furio Gramatica and Guenter Edlinger},
  journal={Neuroscience Letters},
  year={2009},
  volume={462},
  pages={94-98}
}

Figures and Tables from this paper

A Brain–Computer Interface Speller with a Reduced Matrix: A Case Study in a Patient with Amyotrophic Lateral Sclerosis
TLDR
A 4 x 3 symbol matrix based on the T9 interface developed for mobile phones was used for a visual BCI speller that was found to provide a higher communication rate than usual 6 x 6 matrix spellers that are based on Farwell and Donchin’s classic proposal.
P300-Based Brain-Neuronal Computer Interaction for Spelling Applications
TLDR
The results suggest that the HCBP has the potential to provide a more effective P300 paradigm with a major importance for people with neuromuscular diseases and also for healthy people as a supplementary communication channel.
The zigzag paradigm: a new P300-based brain computer interface
TLDR
A user study upon neurologically-normal individuals revealed significant improvements in online classification performance with the ZP, as supported the view that ZP effectively addressed adjacency and crowding problems.
A realization of a P300 based Brain-Computer Interface system
TLDR
The developed system has superior performance as compared to most of the P300 based BCI systems in the literature.
Design and evaluation of a P300 visual brain-computer interface speller in cyrillic characters
TLDR
This study presents the initial design and evaluation of a BCI speller that contains Cyrillic alphanumeric characters and discusses each steps of the design in detail and share the challenges and limitation of such design approaches with possible solutions.
Accuracy of a P300 Speller for People with Motor Impairments: A Comparison
A Brain-Computer Interface (BCI) provides a completely new output pathway that can provide an additional option for a person to express himself/her self if he/she suffers a disorder like amyotrophic
A P300-based Brain-Computer Interface with Stimuli on Moving Objects: Four-Session Single-Trial and Triple-Trial Tests with a Game-Like Task Design
TLDR
The movement of stimulus positions relative to each other may not prevent the efficient use of the P300 BCI by people controlling their gaze, e.g., in robotic devices and in video games.
Accuracy of a P300 speller for people with motor impairments
TLDR
It is proved that, under certain constraints most patients are able to control a P300-based spelling device with almost the same accuracy than the healthy ones.
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 23 REFERENCES
An improved P300-based brain-computer interface
TLDR
The presented BCI achieves excellent performance compared to other existing BCIs, and allows a reasonable communication rate, while maintaining a low error rate.
A P300-based brain–computer interface for people with amyotrophic lateral sclerosis
How many people are able to operate an EEG-based brain-computer interface (BCI)?
TLDR
Ninety-nine healthy people participated in a brain-computer interface (BCI) field study conducted at an exposition held in Graz, Austria, and nearly 93% of the subjects were able to achieve classification accuracy above 60% after two sessions of training.
High performance P300 speller for brain-computer interface
TLDR
A new speller is proposed that can reduce character classification error rate by up to 80% or double the information transfer rate compared to the existing P300 spellers.
Rapid prototyping of an EEG-based brain-computer interface (BCI)
TLDR
A new type of BCI system that uses rapid prototyping to enable a fast transition of various types of parameter estimation and classification algorithms to real-time implementation and testing is described.
[Communication based on the P300 component of event-related potentials: a proposal for a matrix with images].
TLDR
In all volunteers the elicited P300 allows the identification of the selected images in the 5 x 5 matrix and the use of drawings representing ideas instead of letters might increase the communication rate in a P300-based BCI.
Walking from thought
Asynchronous P300-Based Brain--Computer Interfaces: A Computational Approach With Statistical Models
TLDR
A novel computational approach for robust asynchronous control using electroencephalogram (EEG) and a P300-based oddball paradigm is proposed and a method to compute the likelihood of control state in a time window of EEG is derived.
...
1
2
3
...