Brain computer interface for object selection [Nesne seçme için beyin bilgisayar arayüzü]

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Aydağ, Aleyna Nur and Kantar, Gamze and Aksoy, Can and Alp, Nihan and Özkan, Hüseyin (2024) Brain computer interface for object selection [Nesne seçme için beyin bilgisayar arayüzü]. In: 32nd Signal Processing and Communications Applications Conference (SIU), Mersin, Turkiye

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Abstract

Brain-computer interfaces (BCIs) enable computer command generation through brain signals, and are applicable in diverse fields like robot control and neuromarketing. As they offer high signal-to-noise ratios, Electroencephalogram (EEG) based BCIs utilizing steady-state visual evoked potentials (SSVEP) are particularly effective. BCIs find important applications in defense technologies, with significant research investments globally. Our study presents an EEG SSVEP BCI system for object selection in defense Unmanned Aerial Vehicles (UAV) videos. By this means, we aim to facilitate the UAV control, improve the reaction time of the operator, and enable simultaneous execution of more number of functionalities. Differing from existing literature, our study focused on UAV videos (in addition to civil multimedia videos); and conducted in this context a comparison of several prominent SSVEP recognition algorithms from the literature that have been previously developed for different systems. In our performance evaluations, approximately up-to 80% top-2 selection accuracy was observed. Lastly, for a performance enhancement, we propose a new dynamic frequency tagging method.
Item Type: Papers in Conference Proceedings
Uncontrolled Keywords: BCI; Brain-Computer Interfaces; Defense Technologies; EEG; SSVEP; UAV
Divisions: Faculty of Arts and Social Sciences
Faculty of Engineering and Natural Sciences
Depositing User: Nihan Alp
Date Deposited: 27 Aug 2024 11:04
Last Modified: 27 Aug 2024 11:04
URI: https://research.sabanciuniv.edu/id/eprint/49818

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