InECCE2019 pp 367-378 | Cite as

Recent Trends and Open Challenges in EEG Based Brain-Computer Interface Systems

  • Mamunur Rashid
  • Norizam Sulaiman
  • Mahfuzah Mustafa
  • Sabira Khatun
  • Bifta Sama Bari
  • Md Jahid Hasan
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 632)


Recent advances in computer hardware and signal processing have made possible the use of electroencephalogram (EEG) for communication between human brain and computers and this technology is known as brain-computer interface (BCI). Locked-in patients have now a way to communicate with the outside world using BCI technology. Nowadays, BCIs are getting popularity among the researchers to control devices using brainwaves especially in providing good assistance to disabled people. Impressive development and integration of both hardware and software in BCI have been carried out in the last two decades. However, some open challenges and limitations have also been exposed in the previous researches. In this paper, we have tried to mention some critical issues of EEG based BCI system including EEG modalities, EEG acquisition, signal processing algorithm and performance evaluation. These issues need to be solved to develop error-free BCI system. In addition, possible solutions and future directions have also been discussed.


Electroencephalogram (EEG) Brain-Computer interface (BCI) Brain-Machine interface (BMI) Assistive technology 



The author would like to acknowledge the great supports by the Faculty of Electrical and Electronics Engineering as well as Universiti Malaysia Pahang for providing financial support through research grant, PGRS 190326.


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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Mamunur Rashid
    • 1
  • Norizam Sulaiman
    • 1
  • Mahfuzah Mustafa
    • 1
  • Sabira Khatun
    • 1
  • Bifta Sama Bari
    • 1
  • Md Jahid Hasan
    • 2
  1. 1.Faculty of Electrical and Electronics EngineeringUniversiti Malaysia PahangPekanMalaysia
  2. 2.Faculty of Mechanical and Manufacturing EngineeringUniversiti Malaysia PahangPekanMalaysia

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