EEG-Based Brain-Computer Interfaces: A Thorough Literature Survey
Abstract
Brain–computer interface (BCI) technology has been studied with the fundamental goal of helping disabled people communicate with the outside world using brain signals. In particular, a large body of research has been reported in the electroencephalography (EEG)-based BCI research field during recent years. To provide a thorough summary of recent research trends in EEG-based BCIs, the present study reviewed BCI research articles published from 2007 to 2011 and investigated (a) the number of published BCI articles, (b) BCI paradigms, (c) aims of the articles, (d) target applications, (e) feature types, (f) classification algorithms, (g) BCI system types, and (h) nationalities of the author. The detailed survey results are presented and discussed one by one. [Supplemental materials are available for this article. Go to the publisher's online edition of International Journal of Human-Computer Interaction to view the free supplemental file: Supplementary Tables.pdf.]
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More than half of published BCI works research signal-processing and machine-learning methods.
“This is substantiated by the fact that more than half of published BCI works research signal-processing and machine-learning methods [12].”
From The Cybathlon BCI race: Successful longitudinal mutual learning with two tetraplegic users (2018) · cites this paper as [12]
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References 145 · Cited by 257
- Authors
- Hwang, H.-J., Kim, S., Choi, S., & Im, C.-H.
- Affiliations
- Hanyang University (KR)
- University of Rochester (US)
- Corresponding author
- Hwang, Han-Jeong
- Venue
- International Journal of Human-Computer Interaction
- Publisher
- Informa UK Limited
- Published
- 2013-12-02
- Volume
- 29
- Issue
- 12
- Pages
- 814-826
- ISSN
- 1044-7318 (ISSN-L)
- 1532-7590
- OpenAlex
- W1971492907
- Cited by
- 257
- References
- 145
- Citations by year
- 2026: 7 · 2025: 17 · 2024: 14 · 2023: 24 · 2022: 22 · 2021: 31 · 2020: 27 · 2019: 25 · 2018: 32 · 2017: 15 · 2016: 18 · 2015: 16 · 2014: 8 · 2013: 1
- FWCI
- 7.83
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Human-Computer Interaction (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Physical Sciences › Computer Science › Human-Computer Interaction › Gaze Tracking and Assistive Technology
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
- Keywords
- EEG-based brain-computer interface, research trends
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