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

Department of Electronics and Communication Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	2019 International Conference on Artificial Intelligence and Data Processing Symposium, IDAP 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728129327
DOIs	https://doi.org/10.1109/IDAP.2019.8875943
Publication status	Published - Sept 2019
Event	2019 International Conference on Artificial Intelligence and Data Processing Symposium, IDAP 2019 - Malatya, Turkey Duration: 21 Sept 2019 → 22 Sept 2019

Publication series

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

Conference

Conference	2019 International Conference on Artificial Intelligence and Data Processing Symposium, IDAP 2019
Country/Territory	Turkey
City	Malatya
Period	21/09/19 → 22/09/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

autonomous mobile device
decision making
EEG
hybrid system
signal processing
wavelet analysis

Access to Document

10.1109/IDAP.2019.8875943

Cite this

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 Article 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).

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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.",

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

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year = "2019",

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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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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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.

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M3 - Conference contribution

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

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PB - Institute of Electrical and Electronics Engineers Inc.

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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

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Keywords

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