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Application of dry EEG electrodes on low-cost SSVEP-based BCI for robot navigation

Farmaki Cristina, Zacharioudakis Nikolaos, Pediaditis Matthew, Krana Myrto, Sakkalis, Vangelis

Απλή Εγγραφή


URIhttp://purl.tuc.gr/dl/dias/57608C06-1887-499B-8634-6FFAF34B8BA7-
Αναγνωριστικόhttps://doi.org/10.1109/IST55454.2022.9827672-
Αναγνωριστικόhttps://ieeexplore.ieee.org/document/9827672-
Γλώσσαen-
Μέγεθος6 pagesen
ΤίτλοςApplication of dry EEG electrodes on low-cost SSVEP-based BCI for robot navigationen
ΔημιουργόςFarmaki Cristinaen
ΔημιουργόςZacharioudakis Nikolaosen
ΔημιουργόςΖαχαριουδακης Νικολαοςel
ΔημιουργόςPediaditis Matthewen
ΔημιουργόςKrana Myrtoen
ΔημιουργόςSakkalis, Vangelisen
ΕκδότηςInstitute of Electrical and Electronics Engineersen
ΠεριγραφήResearch has been supported by the European Union and Greek national funds through the Operational Program Competitiveness, Entrepreneurship and Innovation, under the call RESEARCH CREATE INNOVATE (project code: T1EDK- 01675.)en
ΠερίληψηElectroencephalography-based brain computer interfaces (BCIs) have been proposed as a promising non-invasive approach for people suffering from neuromuscular disorders to facilitate control and communication with the surrounding environment. Specifically, steady-state visual evoked potentials (SSVEPs) have been successfully used in navigation applications mainly due to their efficiency and quick response time. In this work we present an SSVEP-based BCI for remote robotic car navigation. The robot telepresence is accomplished by sending wirelessly to the user interface the feed of an IP camera that is mounted on the robotic car. This system was developed with the aim to enhance the ease-of-use, employing dry, instead of commonly used wet EEG electrodes, and to reduce the overall cost, using a low-cost open source EEG amplifier. Additionally, we use a robotic car that offers high movement flexibility with precise and fast distance sensors for collision avoidance. We tested our system on 10 participants in both an offline session and in online navigation task on a predefined route. The results indicate that our system with the combination of the low-cost EEG device and the dry electrodes presents comparable performance to a previous system using wet electrodes and a commercial amplifier. Moreover, it ensures a more user-friendly and affordable alternative that could be adopted by a larger part of potential users.en
ΤύποςΠλήρης Δημοσίευση σε Συνέδριοel
ΤύποςConference Full Paperen
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2024-07-29-
Ημερομηνία Δημοσίευσης2022-
Θεματική ΚατηγορίαBCIen
Θεματική ΚατηγορίαSSVEPen
Θεματική ΚατηγορίαDry electrodesen
Θεματική ΚατηγορίαOpenBCIen
Θεματική ΚατηγορίαRobot navigationen
Βιβλιογραφική ΑναφοράC. Farmaki, N. Zacharioudakis, M. Pediaditis, M. Krana and V. Sakkalis, "Application of dry EEG electrodes on low-cost SSVEP-based BCI for robot navigation," in Proceedings of the 2022 IEEE International Conference on Imaging Systems and Techniques (IST 2022), Kaohsiung, Taiwan, 2022, doi: 10.1109/IST55454.2022.9827672.en

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