Literature DB >> 29060044

A hybrid BCI web browser based on EEG and EOG signals.

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Abstract

In this study, we propose a new web browser based on a hybrid brain computer interface (BCI) combining electroencephalographic (EEG) and electrooculography (EOG) signals. Specifically, the user can control the horizontal movement of the mouse by imagining left/right hand motion, and control the vertical movement of the mouse, select/reject a target, or input text in an edit box by blinking eyes in synchrony with the flashes of the corresponding buttons on the GUI. Based on mouse control, target selection and text input, the user can open a web page of interest, select an intended target in the web and read the page content. An online experiment was conducted involving five healthy subjects. The experimental results demonstrated the effectiveness of the proposed method.

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Year:  2017        PMID: 29060044     DOI: 10.1109/EMBC.2017.8036996

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  2 in total

1.  A Hybrid BCI Based on SSVEP and EOG for Robotic Arm Control.

Authors:  Yuanlu Zhu; Ying Li; Jinling Lu; Pengcheng Li
Journal:  Front Neurorobot       Date:  2020-11-20       Impact factor: 2.650

2.  Proposals and Comparisons from One-Sensor EEG and EOG Human-Machine Interfaces.

Authors:  Francisco Laport; Daniel Iglesia; Adriana Dapena; Paula M Castro; Francisco J Vazquez-Araujo
Journal:  Sensors (Basel)       Date:  2021-03-22       Impact factor: 3.576

  2 in total

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