WeBB: A brain-computer interface web browser based on steady-state visual evoked potentials

Utilizing brain activity to interact with the external environment is no longer impossible thanks to recent advances in developing Brain-Computer Interfaces (BCIs). This paper proposes a novel web browser application that utilizes user's Steady-State Visual Evoked Potentials (SSVEPs) from elect...

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Bibliographic Details
Published inICCES : 2017 12th International Conference on Computer Engineering & Systems : proceedings : Triumph Hotel Cairo, Egypt, December 19th-20th 2017 pp. 52 - 57
Main Authors Yehia, Ahmed G., Eldawlatly, Seif, Taher, Mohamed
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2017
Subjects
Band-pass filters
Brain-Computer Interface
Browsers
EEG
Electroencephalography
Headphones
Navigation
SSVEP
Task analysis
Visualization
Web Browser
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DOI10.1109/ICCES.2017.8275277

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Summary:Utilizing brain activity to interact with the external environment is no longer impossible thanks to recent advances in developing Brain-Computer Interfaces (BCIs). This paper proposes a novel web browser application that utilizes user's Steady-State Visual Evoked Potentials (SSVEPs) from electroencephalography (EEG) to surf the internet. Development of a BCI web browsing application is challenging as it has to provide a comfortable web navigation using an easy-to-use interface, with the highest accuracy of command detection and correct execution. In addition, the response time needs to be as small as possible. The developed web browser was examined on three healthy subjects using the Emotiv EPOC headset to record EEG signals, and demonstrated to be fully functional in web navigation tasks with an average accuracy across subjects of 86.08 ± 15.46%.
DOI:10.1109/ICCES.2017.8275277