Brain-Computer Interface: Design and Applications

A special issue of Multimodal Technologies and Interaction (ISSN 2414-4088).

Deadline for manuscript submissions: closed (6 June 2019)

Special Issue Editor


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Guest Editor
School of Computing, University of Ulster, Newtownabbey , UK

Special Issue Information

Dear Colleagues,

The field of Brain–Computer Interfaces (BCI) has steadily grown over recent years with advancements in areas of Electroencephalogram (EEG) acquisition, signal processing, and classification. BCI originated as an assistive technology to support communication and control. However, as highlighted by the Brain Neural–Computer Interface Roadmap (BNCI), potential application areas for BCI will grow beyond the assistive technology applications for which it was first concieved. The following use cases for BCI are proposed:

  • to replace functions that were lost because of injury or disease
  • to restore lost functions
  • to improve functions
  • to enhance functions
  • as a research tool to study brain functions

The Hybrid BCI has been a facilitator for this growth, using a passive EEG input, indicating an affective state, or an active one, delivering intentional commands, and, then, using a combination of these BCI paradigms or including an additional modality, such as eye tracking.

Rising from the broadening of BCI application comes the emerging field of Neuroadaptive Technologies, which employ neurophysiological activity measures to adapt computer applications and systems to the user and Symbiotic Interaction, which represents a broader concept of the human machine relationship. The Gartner Hype Cycle report from 2016  envisages that “technology will continue to become more human-centric to the point where it will introduce transparency between people, businesses, and things”. They highlight Human Augmentation, Affective Computing, Brain–Computer Interfaces (BCI), and The Connected Home (among others) as key driving technologies.

This Special Issue aims to bring together multidisciplinary expertise to provide a collection of high-quality research articles that portray the evolving domain of BCI. The collection will present both theoretical concepts and applied examples, from which the future of BCI can be envisaged.

Dr. Gaye Lightbody
Guest Editors

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. Multimodal Technologies and Interaction 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 1600 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

  • Brain–Computer Interfaces
  • Applications of BCI
  • Neuroadaptive Technologies
  • Human–Machine Interaction
  • Multimodal Interaction
  • Affective Computing
  • Virtual Reality or Augmented Reality and BCI
  • Commercial BCI Headsets
  • User-Centered Design
  • Signal Processing and Classification
  • Machine Learning

Published Papers

There is no accepted submissions to this special issue at this moment.
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