Open Access

Electronics (Switzerland), volume 10, issue 5, pages 560

An Introductory Tutorial on Brain–Computer Interfaces and Their Applications

A. Bonci ¹

Simone Fiori ¹

HIROSHI HIGASHI ²

Toshihisa Tanaka ^{3, 4, 5, 6}

Federica Verdini ¹

Hide authors affiliations Show authors affiliations: 6 affiliations

Dipartimento di Ingegneria dell’Informazione, Università Politecnica delle Marche, Via Brecce Bianche, I-60131 Ancona, Italy |

Graduate School of Informatics, Kyoto University, Yoshidahonmachi 36-1, Sakyo-ku, Kyoto 606-8501, Japan |

Department of Electrical and Electronic Engineering, Tokyo University of Agriculture and Technology, 2-24-16, Nakacho, Koganei-shi, Tokyo 184-8588, Japan |

⁴

RIKEN Center for Brain Science, 2-1, Hirosawa, Wako-shi, Saitama 351-0198, Japan |

⁵

RIKEN Center for Advanced Intelligence Project, 1-4-1 Nihonbashi, Chuo-ku, Tokyo 103-0027, Japan |

⁶

School of Computer Science and Technology, Hangzhou Dianzi University, Xiasha Higher Education Zone, Hangzhou 310018, China |

Publication type: Journal Article

Publication date: 2021-02-27

MDPI

Journal: Electronics (Switzerland)

SJR: 0.644

CiteScore: 5.3

Impact factor: 2.6

ISSN: 20799292

DOI: 10.3390/electronics10050560

Copy DOI

Electrical and Electronic Engineering

Hardware and Architecture

Computer Networks and Communications

Control and Systems Engineering

Signal Processing

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 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.

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GOST |

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GOST Copy

Bonci A. et al. An Introductory Tutorial on Brain–Computer Interfaces and Their Applications // Electronics (Switzerland). 2021. Vol. 10. No. 5. p. 560.

GOST all authors (up to 50) Copy

Bonci A., Fiori S., HIGASHI H., Tanaka T., Verdini F. An Introductory Tutorial on Brain–Computer Interfaces and Their Applications // Electronics (Switzerland). 2021. Vol. 10. No. 5. p. 560.

RIS |

Cite this

RIS Copy

TY - JOUR

DO - 10.3390/electronics10050560

UR - https://doi.org/10.3390/electronics10050560

TI - An Introductory Tutorial on Brain–Computer Interfaces and Their Applications

T2 - Electronics (Switzerland)

AU - Bonci, A.

AU - Fiori, Simone

AU - HIGASHI, HIROSHI

AU - Tanaka, Toshihisa

AU - Verdini, Federica

PY - 2021

DA - 2021/02/27

PB - MDPI

SP - 560

IS - 5

VL - 10

SN - 2079-9292

ER -

BibTex |

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BibTex (up to 50 authors) Copy

@article{2021_Bonci,

author = {A. Bonci and Simone Fiori and HIROSHI HIGASHI and Toshihisa Tanaka and Federica Verdini},

title = {An Introductory Tutorial on Brain–Computer Interfaces and Their Applications},

journal = {Electronics (Switzerland)},

year = {2021},

volume = {10},

publisher = {MDPI},

month = {feb},

url = {https://doi.org/10.3390/electronics10050560},

number = {5},

pages = {560},

doi = {10.3390/electronics10050560}

}

MLA

Cite this

MLA Copy

Bonci, A., et al. “An Introductory Tutorial on Brain–Computer Interfaces and Their Applications.” Electronics (Switzerland), vol. 10, no. 5, Feb. 2021, p. 560. https://doi.org/10.3390/electronics10050560.

Found error?

Publisher

MDPI

Journal

Electronics (Switzerland)

SJR

0.644

CiteScore

5.3

Impact factor

2.6

ISSN

20799292 (Electronic)