Depending on the amount of data to process, file generation may take longer.

If it takes too long to generate, you can limit the data by, for example, reducing the range of years.

Chapter

Download BibTeX

Title

Detection of facial gestures artefacts created during an EEG research using artificial neural networks

Authors

[ 1 ] Instytut Technologii Mechanicznej, Wydział Budowy Maszyn i Zarządzania, Politechnika Poznańska | [ D ] phd student | [ P ] employee

Year of publication

2016

Chapter type

paper

Publication language

english

Abstract

EN The article concerns detecting artefacts created by facial expressions in an EEG with the use of artificial neural networks. During the EEG research may appear some interferences which are called artefacts caused for example by muscle activity. This article will focus on some of them, namely eyeballs movements to the right and left, opening the mouth, smile, lifting eyebrows, opening and closing eyes. In order to record the electrical activity of the brain a device called Emotiv EPOC+™ was used. One of the aims of the research was to find a suitable activation function for the artificial neural networks.

Pages (from - to)

783 - 787

DOI

10.1109/MMAR.2016.7575236

URL

https://ieeexplore.ieee.org/document/7575236

Book

21st International Conference on Methods and Models in Automation and Robotics (MMAR 2016)

Presented on

21st International Conference on Methods and Models in Automation and Robotics, MMAR 2016, 29.08.2016 - 01.09.2016, Międzyzdroje, Poland

Publication indexed in

WoS (15)

This website uses cookies to remember the authenticated session of the user. For more information, read about Cookies and Privacy Policy.