EEG Controlled Semi-Autonomous Mobile Vehicle Design and Implementation

Huseyin Tanzer Atay; Inci Cilesiz; Kenan Kaan Kurt

doi:10.1109/IDAP.2019.8875943

EEG Controlled Semi-Autonomous Mobile Vehicle Design and Implementation

Huseyin Tanzer Atay, Inci Cilesiz, Kenan Kaan Kurt

Elektronik ve Hab.Müh.Bölümü

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

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 dil	İngilizce
Ana bilgisayar yayını başlığı	2019 International Conference on Artificial Intelligence and Data Processing Symposium, IDAP 2019
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)	9781728129327
DOI'lar	https://doi.org/10.1109/IDAP.2019.8875943
Yayın durumu	Yayınlandı - Eyl 2019
Etkinlik	2019 International Conference on Artificial Intelligence and Data Processing Symposium, IDAP 2019 - Malatya, Turkey Süre: 21 Eyl 2019 → 22 Eyl 2019

Yayın serisi

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

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	2019 International Conference on Artificial Intelligence and Data Processing Symposium, IDAP 2019
Ülke/Bölge	Turkey
Şehir	Malatya
Periyot	21/09/19 → 22/09/19

Bibliyografik not

Publisher Copyright:
© 2019 IEEE.

Belgeye Erişim

10.1109/IDAP.2019.8875943

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Atay, H. T., Cilesiz, I., & Kurt, K. K. (2019). EEG Controlled Semi-Autonomous Mobile Vehicle Design and Implementation. In 2019 International Conference on Artificial Intelligence and Data Processing Symposium, IDAP 2019 Makale 8875943 (2019 International Conference on Artificial Intelligence and Data Processing Symposium, IDAP 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IDAP.2019.8875943

Atay, Huseyin Tanzer ; Cilesiz, Inci ; Kurt, Kenan Kaan. / EEG Controlled Semi-Autonomous Mobile Vehicle Design and Implementation. 2019 International Conference on Artificial Intelligence and Data Processing Symposium, IDAP 2019. Institute of Electrical and Electronics Engineers Inc., 2019. (2019 International Conference on Artificial Intelligence and Data Processing Symposium, IDAP 2019).

@inproceedings{e2dac4450e7345d381dd9d627d3f6690,

title = "EEG Controlled Semi-Autonomous Mobile Vehicle Design and Implementation",

abstract = "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.",

keywords = "autonomous mobile device, decision making, EEG, hybrid system, signal processing, wavelet analysis",

author = "Atay, {Huseyin Tanzer} and Inci Cilesiz and Kurt, {Kenan Kaan}",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 International Conference on Artificial Intelligence and Data Processing Symposium, IDAP 2019 ; Conference date: 21-09-2019 Through 22-09-2019",

year = "2019",

month = sep,

doi = "10.1109/IDAP.2019.8875943",

language = "English",

series = "2019 International Conference on Artificial Intelligence and Data Processing Symposium, IDAP 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2019 International Conference on Artificial Intelligence and Data Processing Symposium, IDAP 2019",

address = "United States",

}

Atay, HT, Cilesiz, I & Kurt, KK 2019, EEG Controlled Semi-Autonomous Mobile Vehicle Design and Implementation. in 2019 International Conference on Artificial Intelligence and Data Processing Symposium, IDAP 2019., 8875943, 2019 International Conference on Artificial Intelligence and Data Processing Symposium, IDAP 2019, Institute of Electrical and Electronics Engineers Inc., 2019 International Conference on Artificial Intelligence and Data Processing Symposium, IDAP 2019, Malatya, Turkey, 21/09/19. https://doi.org/10.1109/IDAP.2019.8875943

EEG Controlled Semi-Autonomous Mobile Vehicle Design and Implementation. / Atay, Huseyin Tanzer; Cilesiz, Inci; Kurt, Kenan Kaan.
2019 International Conference on Artificial Intelligence and Data Processing Symposium, IDAP 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8875943 (2019 International Conference on Artificial Intelligence and Data Processing Symposium, IDAP 2019).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - EEG Controlled Semi-Autonomous Mobile Vehicle Design and Implementation

AU - Atay, Huseyin Tanzer

AU - Cilesiz, Inci

AU - Kurt, Kenan Kaan

PY - 2019/9

Y1 - 2019/9

N2 - 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.

AB - 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.

KW - autonomous mobile device

KW - decision making

KW - EEG

KW - hybrid system

KW - signal processing

KW - wavelet analysis

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U2 - 10.1109/IDAP.2019.8875943

DO - 10.1109/IDAP.2019.8875943

M3 - Conference contribution

AN - SCOPUS:85074882060

T3 - 2019 International Conference on Artificial Intelligence and Data Processing Symposium, IDAP 2019

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

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 International Conference on Artificial Intelligence and Data Processing Symposium, IDAP 2019

Y2 - 21 September 2019 through 22 September 2019

ER -

Atay HT, Cilesiz I, Kurt KK. EEG Controlled Semi-Autonomous Mobile Vehicle Design and Implementation. In 2019 International Conference on Artificial Intelligence and Data Processing Symposium, IDAP 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 8875943. (2019 International Conference on Artificial Intelligence and Data Processing Symposium, IDAP 2019). doi: 10.1109/IDAP.2019.8875943

EEG Controlled Semi-Autonomous Mobile Vehicle Design and Implementation

Özet

Yayın serisi

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Bibliyografik not

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

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