EEG Controlled Semi-Autonomous Mobile Vehicle Design and Implementation

Huseyin Tanzer Atay, Inci Cilesiz, Kenan Kaan Kurt

Araştırma sonucu: ???type-name???Konferans katkısıbilirkişi

Özet

The main goal of this paper is to control a mobile autonomous vehicle by studying EEG signals and their properties. EEG signals are analyzed to classify an example dataset provided by Internet resources. Different feature extraction methods were applied. Since EEG signals have high noise and information is embedded in the noise spectrum, frequency analysis was used to eliminate noise. Wavelet Transform was discussed in detail. Feature vectors were selected by Fisher Discriminate Analysis, that is an improved version of Linear Discriminant Analysis. With these data, mobile vehicle was controlled by differential driving technique. An attempt was made to avoid obstacles and to move with commands extracted from EEG signals.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığı2019 International Conference on Artificial Intelligence and Data Processing Symposium, IDAP 2019
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)9781728129327
DOI'lar
Yayın durumuYayınlandı - Eyl 2019
Etkinlik2019 International Conference on Artificial Intelligence and Data Processing Symposium, IDAP 2019 - Malatya, Turkey
Süre: 21 Eyl 201922 Eyl 2019

Yayın serisi

Adı2019 International Conference on Artificial Intelligence and Data Processing Symposium, IDAP 2019

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???event.eventtypes.event.conference???2019 International Conference on Artificial Intelligence and Data Processing Symposium, IDAP 2019
Ülke/BölgeTurkey
ŞehirMalatya
Periyot21/09/1922/09/19

Bibliyografik not

Publisher Copyright:
© 2019 IEEE.

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