Brain-Computer Interface: Advancement and Challenges

Brain-Computer Interface (BCI) is an advanced and multidisciplinary active research domain based on neuroscience, signal processing, biomedical sensors, hardware, etc. Since the last decades, several groundbreaking research has been conducted in this domain. Still, no comprehensive review that cover...

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Published inSensors Vol. 21; no. 17; p. 5746
Main Authors Mridha, M. F., Das, Sujoy Chandra, Kabir, Muhammad Mohsin, Lima, Aklima Akter, Islam, Md. Rashedul, Watanobe, Yutaka
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 26.08.2021
MDPI
Subjects
Algorithms
biomedical sensors
Brain
Brain research
brain-computer interface
Brain-Computer Interfaces
Chemical technology
Classification
Communication
Deep learning
Electroencephalography
Haptics
Interfaces
Literature reviews
Medical research
Paradigms
Pattern recognition
R&D
Research & development
Researchers
Review
Signal processing
Signal Processing, Computer-Assisted
Systematic review
TP1-1185
Trends
User-Computer Interface
Online AccessGet full text

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Abstract Brain-Computer Interface (BCI) is an advanced and multidisciplinary active research domain based on neuroscience, signal processing, biomedical sensors, hardware, etc. Since the last decades, several groundbreaking research has been conducted in this domain. Still, no comprehensive review that covers the BCI domain completely has been conducted yet. Hence, a comprehensive overview of the BCI domain is presented in this study. This study covers several applications of BCI and upholds the significance of this domain. Then, each element of BCI systems, including techniques, datasets, feature extraction methods, evaluation measurement matrices, existing BCI algorithms, and classifiers, are explained concisely. In addition, a brief overview of the technologies or hardware, mostly sensors used in BCI, is appended. Finally, the paper investigates several unsolved challenges of the BCI and explains them with possible solutions.
AbstractList Brain-Computer Interface (BCI) is an advanced and multidisciplinary active research domain based on neuroscience, signal processing, biomedical sensors, hardware, etc. Since the last decades, several groundbreaking research has been conducted in this domain. Still, no comprehensive review that covers the BCI domain completely has been conducted yet. Hence, a comprehensive overview of the BCI domain is presented in this study. This study covers several applications of BCI and upholds the significance of this domain. Then, each element of BCI systems, including techniques, datasets, feature extraction methods, evaluation measurement matrices, existing BCI algorithms, and classifiers, are explained concisely. In addition, a brief overview of the technologies or hardware, mostly sensors used in BCI, is appended. Finally, the paper investigates several unsolved challenges of the BCI and explains them with possible solutions.
Brain-Computer Interface (BCI) is an advanced and multidisciplinary active research domain based on neuroscience, signal processing, biomedical sensors, hardware, etc. Since the last decades, several groundbreaking research has been conducted in this domain. Still, no comprehensive review that covers the BCI domain completely has been conducted yet. Hence, a comprehensive overview of the BCI domain is presented in this study. This study covers several applications of BCI and upholds the significance of this domain. Then, each element of BCI systems, including techniques, datasets, feature extraction methods, evaluation measurement matrices, existing BCI algorithms, and classifiers, are explained concisely. In addition, a brief overview of the technologies or hardware, mostly sensors used in BCI, is appended. Finally, the paper investigates several unsolved challenges of the BCI and explains them with possible solutions.Brain-Computer Interface (BCI) is an advanced and multidisciplinary active research domain based on neuroscience, signal processing, biomedical sensors, hardware, etc. Since the last decades, several groundbreaking research has been conducted in this domain. Still, no comprehensive review that covers the BCI domain completely has been conducted yet. Hence, a comprehensive overview of the BCI domain is presented in this study. This study covers several applications of BCI and upholds the significance of this domain. Then, each element of BCI systems, including techniques, datasets, feature extraction methods, evaluation measurement matrices, existing BCI algorithms, and classifiers, are explained concisely. In addition, a brief overview of the technologies or hardware, mostly sensors used in BCI, is appended. Finally, the paper investigates several unsolved challenges of the BCI and explains them with possible solutions.
Author Muhammad Mohsin Kabir
Aklima Akter Lima
Sujoy Chandra Das
Md. Rashedul Islam
M. F. Mridha
Yutaka Watanobe
AuthorAffiliation 1 Department of Computer Science and Engineering, Bangladesh University of Business and Technology, Dhaka 1216, Bangladesh; firoz@bubt.edu.bd (M.F.M.); dsujoy.cse@gmail.com (S.C.D.); mdmkabi@gmail.com (M.M.K.); hossain.limuu@gmail.com (A.A.L.)
3 Department of Computer Science and Engineering, University of Aizu, Aizu-Wakamatsu 965-8580, Japan; yutaka@u-aizu.ac.jp
2 Department of Computer Science and Engineering, University of Asia Pacific, Dhaka 1216, Bangladesh
AuthorAffiliation_xml – name: 1 Department of Computer Science and Engineering, Bangladesh University of Business and Technology, Dhaka 1216, Bangladesh; firoz@bubt.edu.bd (M.F.M.); dsujoy.cse@gmail.com (S.C.D.); mdmkabi@gmail.com (M.M.K.); hossain.limuu@gmail.com (A.A.L.)
– name: 2 Department of Computer Science and Engineering, University of Asia Pacific, Dhaka 1216, Bangladesh
– name: 3 Department of Computer Science and Engineering, University of Aizu, Aizu-Wakamatsu 965-8580, Japan; yutaka@u-aizu.ac.jp
Author_xml – sequence: 1
  givenname: M. F.
  orcidid: 0000-0001-5738-1631
  surname: Mridha
  fullname: Mridha, M. F.
– sequence: 2
  givenname: Sujoy Chandra
  orcidid: 0000-0002-3652-8769
  surname: Das
  fullname: Das, Sujoy Chandra
– sequence: 3
  givenname: Muhammad Mohsin
  orcidid: 0000-0001-9624-5499
  surname: Kabir
  fullname: Kabir, Muhammad Mohsin
– sequence: 4
  givenname: Aklima Akter
  orcidid: 0000-0002-0807-523X
  surname: Lima
  fullname: Lima, Aklima Akter
– sequence: 5
  givenname: Md. Rashedul
  orcidid: 0000-0001-8676-6338
  surname: Islam
  fullname: Islam, Md. Rashedul
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  givenname: Yutaka
  orcidid: 0000-0002-0030-3859
  surname: Watanobe
  fullname: Watanobe, Yutaka
BackLink https://cir.nii.ac.jp/crid/1873398392524517376$$DView record in CiNii
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Snippet Brain-Computer Interface (BCI) is an advanced and multidisciplinary active research domain based on neuroscience, signal processing, biomedical sensors,...
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SubjectTerms Algorithms
biomedical sensors
Brain
Brain research
brain-computer interface
Brain-Computer Interfaces
Chemical technology
Classification
Communication
Deep learning
Electroencephalography
Haptics
Interfaces
Literature reviews
Medical research
Paradigms
Pattern recognition
R&D
Research & development
Researchers
Review
Signal processing
Signal Processing, Computer-Assisted
Systematic review
TP1-1185
Trends
User-Computer Interface
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Title Brain-Computer Interface: Advancement and Challenges
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Volume 21
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