Please use this identifier to cite or link to this item: http://ir.lib.seu.ac.lk/handle/123456789/5787
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dc.contributor.authorFaathima Fayaza, M. S.-
dc.date.accessioned2021-10-04T08:05:03Z-
dc.date.available2021-10-04T08:05:03Z-
dc.date.issued2021-07-27-
dc.identifier.citation1st 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. 206-211en_US
dc.identifier.isbn978-624-5736-17-1-
dc.identifier.urihttp://ir.lib.seu.ac.lk/handle/123456789/5787-
dc.description.abstractIn 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.en_US
dc.language.isoen_USen_US
dc.publisherFaculty of Technology, South Eastern University of Sri Lanka, University Park, Oluvil.en_US
dc.subjectBrain-computer interfaceen_US
dc.subjectBCI Featureen_US
dc.subjectBCI devicesen_US
dc.titleBrain-computer interface: systems and interacting devicesen_US
dc.typeArticleen_US
Appears in Collections:1st International Conference on Science and Technology

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