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

Rashid, Mamunur and Norizam, Sulaiman and Mahfuzah, Mustafa and Sabira, Khatun and Bari, Bifta Sama and Hasan, Md Jahid (2019) Recent Trends and Open Challenges in EEG based Brain-Computer Interface Systems. In: 5th International Conference On Electrical, Control And Computer Engineering (INECCE2019), 29-30 July 2019 , Kuantan, Pahang, Malaysia. pp. 1-11.. (Unpublished)

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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.

Item Type: Conference or Workshop Item (Lecture)
Uncontrolled Keywords: Electroencephalogram (EEG), Brain-Computer Interface (BCI), Brain-Machine Interface (BMI), Assistive Technology.
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Institute of Postgraduate Studies
Faculty of Mechanical & Manufacturing Engineering
Depositing User: Noorul Farina Arifin
Date Deposited: 17 Jan 2020 08:39
Last Modified: 17 Jan 2020 08:39
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