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Chapter

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Title

Hybrid Brain-Computer Interface (BCI) Based on Electrooculography (EOG) and Center Eye Tracking

Authors

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

Scientific discipline (Law 2.0)

[2.9] Mechanical engineering

Year of publication

2018

Chapter type

chapter in monograph / paper

Publication language

english

Keywords
EN
  • EEG
  • electroencephalography
  • BCI
  • hybrid brain-computer interface
  • EOG
  • electrooculography
  • center eye tracking
Abstract

EN The article describes design process of building hybrid brain-computer interface based on Electrooculography (EOG) and center eye tracking. In first paragraph author presented information about Electroencephalography (EEG) and it classification. Author performed a literature overview concerning on hybrid BCIs. In the next step, author implemented center eye tracking library. The system was built with used of the bioactive sensors mounted on the head, which was triggered by the signal from eyes movement by EOG and eye tracking. The built interface has been tested. Two experiments were created. In all experiments, three people aged 25–35 were involved. Recorded 30 attempts per scenario. Between attempts respondent had a 1-min break. The investigators attempted to enter a virtual red dot into the green square using only eyes movement and blinking.

Date of online publication

08.03.2018

Pages (from - to)

288 - 297

DOI

10.1007/978-3-319-77179-3_27

URL

https://link.springer.com/chapter/10.1007%2F978-3-319-77179-3_27

Book

Automation 2018 : Advances in Automation, Robotics and Measurement Techniques

Presented on

Automation 2018, 21-23.03.2018, Warsaw, Poland

Ministry points / chapter

20

Publication indexed in

WoS (15)

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