Technology and Applications of Brain-Computer Interfaces

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 8717

Special Issue Editors


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Dipartimento di Scienze e Tecnologie, Università degli studi di Napoli “Parthenope”, Centro Direzionale, Isola C4, 80143 Napoli, Italy
Interests: soft computing; machine learning; computational intelligence; data mining; data mining for astrophysics; geology and biology data; signal processing; audio streaming; brain–computer interface
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Dipartimento di Scienze e Tecnologie, Università degli studi di Napoli “Parthenope”, Centro Direzionale, Isola C4, 80143 Napoli, Italy

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Department of Information Engineering, Marches Polytechnic University, 60121 Ancona, Italy
Interests: computational intelligence; geometric numerical integration; numerical methods in applied sciences and engineering; differential geometrical methods in applied sciences and engineering
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Dipartimento di Scienze e Tecnologie, Università degli studi di Napoli “Parthenope”, Centro Direzionale, Isola C4, 80143 Napoli, Italy
Interests: computational intelligence; machine learning; neural networks; clustering; data mining in bioinformatics and ecological informatics; wireless sensor networks; IoT; soft computing
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Department of Electronic and Information Engineering, Tokyo University of Agriculture and Technology, Tokyo 184-8588, Japan
Interests: biomedical signal processing and machine learning for brain-computer interfaces; epilepsy; neuromusicology
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Today, human–computer interaction (HCI) devices are used for interfacing with computers for different purposes such as data entry, control or communication. A brain–computer interface (BCI) is a channel of communication between the brain and an external acquisition device that is largely used for HCI. In computer science and bioengineering, BCI is used for different purposes such as device control, gaming, and supporting people with handicap, as in the cases of acquisition and interpretation of EEG/neural data which can control the moves of a wheelchair, replay some vocal synthesis, or also control a home automation system. Moreover, consumer-grade EEG devices allow detecting emotions and facial expressions and can be used for contextual brain research and BCI applications. In recent years, novel computational approaches have been studied and introduced for processing BCI data. In particular, Artificial-Intelligence-based methodologies have been largely adopted.

The aim of the Special Issue is to host recent research advances in the field of technology and applications of brain–computer interfaces and to highlight research issues and still open questions.

Potential topics include computational methodologies (but are not limited to):

  • Applied and Computational Mathematics;
  • Computational Intelligence;
  • Machine Learning;
  • Data mining;

when applied to:

  • Medical data;
  • Smart environment;
  • Educational;
  • Games and entertainment;
  • Security and authentication;
  •  Neuromarketing.

Furthermore, software tools designed for addressing any of the above topics might also be considered relevant for the Special Issue.

  • applied and computational mathematics (e.g., filtering, pre-processing);
  • computational intelligence (e.g., fuzzy logic, deep neural networks, evolutionary computation, probabilistic methods);
  • machine learning (e.g., support vector machine, Boltzmann machine);
  • data mining (e.g., feature extraction, clustering)

Prof. Dr. Angelo Ciaramella
Dr. Alessio Ferone
Prof. Dr. Simone Fiori
Prof. Dr. Antonino Staiano
Prof. Dr. Toshihisa Tanaka
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. Electronics is an international peer-reviewed open access semimonthly 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 2400 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.

Published Papers (1 paper)

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Review

42 pages, 5117 KiB  
Review
An Introductory Tutorial on Brain–Computer Interfaces and Their Applications
by Andrea Bonci, Simone Fiori, Hiroshi Higashi, Toshihisa Tanaka and Federica Verdini
Electronics 2021, 10(5), 560; https://0-doi-org.brum.beds.ac.uk/10.3390/electronics10050560 - 27 Feb 2021
Cited by 29 | Viewed by 7883
Abstract
The prospect and potentiality of interfacing minds with machines has long captured human imagination. Recent advances in biomedical engineering, computer science, and neuroscience are making brain–computer interfaces a reality, paving the way to restoring and potentially augmenting human physical and mental capabilities. Applications [...] Read more.
The prospect and potentiality of interfacing minds with machines has long captured human imagination. Recent advances in biomedical engineering, computer science, and neuroscience are making brain–computer interfaces a reality, paving the way to restoring and potentially augmenting human physical and mental capabilities. Applications of brain–computer interfaces are being explored in applications as diverse as security, lie detection, alertness monitoring, gaming, education, art, and human cognition augmentation. The present tutorial aims to survey the principal features and challenges of brain–computer interfaces (such as reliable acquisition of brain signals, filtering and processing of the acquired brainwaves, ethical and legal issues related to brain–computer interface (BCI), data privacy, and performance assessment) with special emphasis to biomedical engineering and automation engineering applications. The content of this paper is aimed at students, researchers, and practitioners to glimpse the multifaceted world of brain–computer interfacing. Full article
(This article belongs to the Special Issue Technology and Applications of Brain-Computer Interfaces)
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