Extraction of Motor Imagery for Operation of UAV Communication Systems

Won Young Kang, Yoon Ku Lee, Youngjin Song, Juseung Lee, Sang Hyun Lee

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    This paper presents a novel approach in enhancing Unmanned Aerial Vehicle (UAV) communication systems through the application of reliable Electroencephalogram (EEG)-based Motor Imagery signals. The concept of EEG signals and the active role that Motor Imagery (MI) signals can play in UAV systems is explored, along with the efficiency aspects and algorithmic superiority of the communication system, demonstrating how the EEG information signal is reliable enough to be utilized in a UAV communication system. The results provide a performance evaluation of the CNN model along with a comparison to other learning models, and an analysis of the spatial separation in the brain. The study concludes by suggesting the implications of the findings for UAV communication and AI in future researches.

    Original languageEnglish
    Title of host publicationICTC 2023 - 14th International Conference on Information and Communication Technology Convergence
    Subtitle of host publicationExploring the Frontiers of ICT Innovation
    PublisherIEEE Computer Society
    Pages415-418
    Number of pages4
    ISBN (Electronic)9798350313277
    DOIs
    Publication statusPublished - 2023
    Event14th International Conference on Information and Communication Technology Convergence, ICTC 2023 - Jeju Island, Korea, Republic of
    Duration: 2023 Oct 112023 Oct 13

    Publication series

    NameInternational Conference on ICT Convergence
    ISSN (Print)2162-1233
    ISSN (Electronic)2162-1241

    Conference

    Conference14th International Conference on Information and Communication Technology Convergence, ICTC 2023
    Country/TerritoryKorea, Republic of
    CityJeju Island
    Period23/10/1123/10/13

    Bibliographical note

    Publisher Copyright:
    © 2023 IEEE.

    ASJC Scopus subject areas

    • Information Systems
    • Computer Networks and Communications

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