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Authors: Enrico Zero ; Simone Graffione ; Chiara Bersani and Roberto Sacile

Affiliation: DIBRIS, Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genova, Genova, Italy

Keyword(s): EEG Signal, BCI, Arm Movements Recognition.

Abstract: In the last years, the manufactured vehicles were designed to focus on prevention of some risky situations caused by a human driver. The aim of this paper is to illustrate the design and implementation of a BCI system which can detect the arm movements by the EEG signal during a simulated driving session. The proposed approach to realize a classifier able to recognize the arm movement by EEG feature analysis is based on the consecutive application of a Time Delay Neural Network (TDNN) and a Pattern Recognition Neural Network (PRNN). Preliminary tests are shown on three different participants between 24 and 45 years old.

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Paper citation in several formats:
Zero, E.; Graffione, S.; Bersani, C. and Sacile, R. (2021). A BCI Driving System to Understand Brain Signals Related to Steering. In Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics - ICINCO; ISBN 978-989-758-522-7; ISSN 2184-2809, SciTePress, pages 745-751. DOI: 10.5220/0010576807450751

@conference{icinco21,
author={Enrico Zero. and Simone Graffione. and Chiara Bersani. and Roberto Sacile.},
title={A BCI Driving System to Understand Brain Signals Related to Steering},
booktitle={Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics - ICINCO},
year={2021},
pages={745-751},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010576807450751},
isbn={978-989-758-522-7},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics - ICINCO
TI - A BCI Driving System to Understand Brain Signals Related to Steering
SN - 978-989-758-522-7
IS - 2184-2809
AU - Zero, E.
AU - Graffione, S.
AU - Bersani, C.
AU - Sacile, R.
PY - 2021
SP - 745
EP - 751
DO - 10.5220/0010576807450751
PB - SciTePress

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