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Computers
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Event-Related Potential Brain-Computer Interfaces
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Event-Related Potential Brain-Computer Interfaces

A special issue of Computers (ISSN 2073-431X).

Deadline for manuscript submissions: closed (30 September 2016) | Viewed by 8289

Special Issue Editor

Dr. Sebastian Halder

E-Mail Website
Guest Editor
Institute of Psychology, University of Würzburg, Marcusstrasse 9-11, 97070 Würzburg, Germany
Interests: brain–computer interfaces; neuroscience; computer science

Special Issue Information

Dear Colleagues,

Neurodegenerative diseases, such as amyotrophic lateral sclerosis (ALS) or brain injuries, may lead to the locked-in state (LIS) or complete locked-in state (CLIS) in which a person is aware but paralysed, to an extent that communication is not possible. Brain–computer interfaces (BCIs) can serve as an assistive technology for communication and control channel for persons with severe paralysis. In particular, BCIs based on event-related potential (ERP) components of the electroencephalogram (EEG) have been used in various scenarios due to their robustness, speed and wide applicability. Additionally, users can often learn to control ERP-based BCIs within one session.

Often the stimuli used to elicit the ERP components are visual, but non-visual stimuli can be used as well. Users with limited or no gaze control can control BCIs using non-visual stimuli.

In summary, ERP-based BCIs can help restore independence to a wide range of end-users by providing access to communication, entertainment and personal mobility.

Authors are invited to submit original contributions on the following topics:

  • applications, e.g., communication, entertainment, internet access or mobility
  • studies with end-users with severe paralysis or disorders of consciousness
  • use of ERP BCIs at end-users’ homes or care facilities
  • Stimulus material or stimulation patterns
  • non-visual ERP BCIs
  • BCI illiteracy or aptitude
  • spelling systems
  • comparisons to other assistive technologies
  • asynchronous control
  • EEG hardware for ERP BCIs

Dr. Sebastian Halder
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Computers is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • assistive technology
  • brain–computer interface
  • electroencephalography
  • event-related potentials

Published Papers (1 paper)

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Research

1672 KiB  
Article
An N100-P300 Spelling Brain-Computer Interface with Detection of Intentional Control
by Hikaru Sato and Yoshikazu Washizawa
Computers 2016, 5(4), 31; https://doi.org/10.3390/computers5040031 - 02 Dec 2016
Cited by 10 | Viewed by 8033
Abstract
A brain-computer interface (BCI) is a tool to communicate with a computer via brain signals without the user making any physical movements, thus enabling disabled people to communicate with their environment and with others. P300-based ERP spellers are a widely used spelling visual [...] Read more.
A brain-computer interface (BCI) is a tool to communicate with a computer via brain signals without the user making any physical movements, thus enabling disabled people to communicate with their environment and with others. P300-based ERP spellers are a widely used spelling visual BCI using the P300 component of event-related potential (ERP). However, they have a technical problem in that at least 2 N flashes are required to present N characters. This prevents the improvement of accuracy and restricts the typing speed. To address this issue, we propose a method that uses N100 in addition to P300. We utilize novel stimulus images to detect the user’s gazing position by using N100. By using both P300 and N100, the proposed visual BCI reduces the number of flashes and improves the accuracy of the P300 speller. We also propose using N100 to classify non-control (NC) and intentional control (IC) states. In our experiments, the detection accuracy of N100 was significantly higher than that of P300 and the proposed method exhibited a higher information transfer rate (ITR) than the P300 speller. Full article
(This article belongs to the Special Issue Event-Related Potential Brain-Computer Interfaces)
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