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Context-Aware Systems and Applications. 11th EAI International Conference, ICCASA 2022, Vinh Long, Vietnam, October 27-28, 2022, Proceedings

Research Article

A Framework for Brain-Computer InterfacesClosed-Loop Communication Systems

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-28816-6_6,
        author={Mina Cu and Gabrielle Peko and Johnny Chan and David Sundaram},
        title={A Framework for Brain-Computer InterfacesClosed-Loop Communication Systems},
        proceedings={Context-Aware Systems and Applications. 11th EAI International Conference, ICCASA 2022, Vinh Long, Vietnam, October 27-28, 2022, Proceedings},
        proceedings_a={ICCASA},
        year={2023},
        month={3},
        keywords={Brain-computer interface Brain-to-brain interface Closed-loop communication Cryptography},
        doi={10.1007/978-3-031-28816-6_6}
    }
    
  • Mina Cu
    Gabrielle Peko
    Johnny Chan
    David Sundaram
    Year: 2023
    A Framework for Brain-Computer InterfacesClosed-Loop Communication Systems
    ICCASA
    Springer
    DOI: 10.1007/978-3-031-28816-6_6
Mina Cu1, Gabrielle Peko1, Johnny Chan1, David Sundaram1,*
  • 1: The University of Auckland
*Contact email: d.sundaram@auckland.ac.nz

Abstract

This paper is a review of the brain-computer interface technology and its latest applications on human subjects. The brain-computer interface is an emerging technology that utilizes neurophysiological signals produced through the electrode interactions initiated inside the human brain to control external devices. Research on connecting human brains via brain-computer interfaces has been progressing with a lack of details on the technology used in closed-loop communication, which often leads to rumours, scepticism, and misunderstanding. We aim to alleviate these issues and to this end, we first analyze descriptions of brain-computer interface technology. We then explain the operational mechanisms of existing brain-computer interfaces and how they can perform direct brain-to-brain communication between human subjects separated in different locations. Findings from the literature motivate us to present a closed-loop communication framework that enables the combination of brain-computer interfaces and telecommunication channels such as vocal and text messages. Finally, we discuss the implications and limitations underlying the theoretical findings. The contribution of this paper is to provide a better understanding of emerging technology to support communication and innovation.

Keywords
Brain-computer interface Brain-to-brain interface Closed-loop communication Cryptography
Published
2023-03-24
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-28816-6_6
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