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Brain-Computer Interface: Advancement and Challenges

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Department of Computer Science and Engineering, Bangladesh University of Business and Technology, Dhaka 1216, Bangladesh
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Department of Computer Science and Engineering, University of Asia Pacific, Dhaka 1216, Bangladesh
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Department of Computer Science and Engineering, University of Aizu, Aizu-Wakamatsu 965-8580, Japan
*
Author to whom correspondence should be addressed.
Academic Editor: Sung-Phil Kim
Sensors 2021, 21(17), 5746; https://doi.org/10.3390/s21175746
Received: 17 July 2021 / Revised: 15 August 2021 / Accepted: 20 August 2021 / Published: 26 August 2021
(This article belongs to the Section Sensors and Robotics)
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. View Full-Text
Keywords: brain-computer interface; signal processing; biomedical sensors; systematic review brain-computer interface; signal processing; biomedical sensors; systematic review
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MDPI and ACS Style

Mridha, M.F.; Das, S.C.; Kabir, M.M.; Lima, A.A.; Islam, M.R.; Watanobe, Y. Brain-Computer Interface: Advancement and Challenges. Sensors 2021, 21, 5746. https://doi.org/10.3390/s21175746

AMA Style

Mridha MF, Das SC, Kabir MM, Lima AA, Islam MR, Watanobe Y. Brain-Computer Interface: Advancement and Challenges. Sensors. 2021; 21(17):5746. https://doi.org/10.3390/s21175746

Chicago/Turabian Style

Mridha, M. F., Sujoy C. Das, Muhammad M. Kabir, Aklima A. Lima, Md. R. Islam, and Yutaka Watanobe. 2021. "Brain-Computer Interface: Advancement and Challenges" Sensors 21, no. 17: 5746. https://doi.org/10.3390/s21175746

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