Real‐time P300‐based BCI in mechatronic control by using a multi‐dimensional approach-Reference-Cited by-同舟云学术

Real‐time P300‐based BCI in mechatronic control by using a multi‐dimensional approach

Published:2018-10 Issue:5 Volume:12 Page:418-424
ISSN:1751-8806
Container-title:IET Software
language:en
Short-container-title:IET softw.

Author:

De Venuto Daniela¹,Annese Valerio F.²,Mezzina Giovanni¹^ORCID

Affiliation:

1. Department of Electrical and Information Engineering Politecnico di Bari Via Orabona 4 70125 Bari Italy

2. School of Engineering University of Glasgow Glasgow G12 8TA UK

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Graphics and Computer-Aided Design

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-sen.2017.0340

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4. De Venuto D. Annese V.F. Mezzina G.: ‘An embedded system remotely driving mechanical devices by P300 brain activity’.Design Automation & Test in Europe Conf. & Exhibition (DATE) Lausanne Switzerland March2017 pp.1014–1019

5. De Venuto D. Annese V.F. Mezzina G.: ‘Towards P300-based mind-control: a non-invasive quickly trained BCI for remote car driving’ 7th International Conference on Sensor Systems and Software Nice France December2016

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