Please use this identifier to cite or link to this item:
http://ir.lib.seu.ac.lk/handle/123456789/5787
Title: | Brain-computer interface: systems and interacting devices |
Authors: | Faathima Fayaza, M. S. |
Keywords: | Brain-computer interface BCI Feature BCI devices |
Issue Date: | 27-Jul-2021 |
Publisher: | Faculty of Technology, South Eastern University of Sri Lanka, University Park, Oluvil. |
Citation: | 1st International Conference on Science and Technology 2021 on “Technology - based research and innovation for empowerment and sustainability ”. 07th July 2021. South Eastern University of Sri Lanka, University Park, Oluvil, Sri Lanka. pp. 206-211 |
Abstract: | In the past, mind control was thought to be a fantasy beyond human intelligence. Over the last few decades, significant advances have been made, such as the invention of novel devices for enhancing information flow into computers through multimodel devices. Brain-Computer Interface (BCI) was initially developed to build communication between paralyzed people and the environment. BCI variously improves human life in the field of medicine, entertainment, security and etc. This paper focuses on the technologies and principles behind the BCI. The paper also discusses the various steps in the BCI system: signal acquisition, preprocessing, feature extraction, and classification. The key challenge in BCI signal processing is the curse of dimensionality in the feature vector. Further, the paper focuses on the BCI communication methods, such as invasive, semi-invasive, and non-invasive BCI, advantages, and limitations. |
URI: | http://ir.lib.seu.ac.lk/handle/123456789/5787 |
ISBN: | 978-624-5736-17-1 |
Appears in Collections: | 1st International Conference on Science and Technology |
Files in This Item:
File | Description | Size | Format | |
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27 P_ICST2021 Final v11_win_Done_sec_p206-211.pdf | 350.96 kB | Adobe PDF | View/Open |
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