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2018 | OriginalPaper | Chapter

WebBCI: An Electroencephalography Toolkit Built on Modern Web Technologies

Authors : Pierce Stegman, Chris Crawford, Jeff Gray

Published in: Augmented Cognition: Intelligent Technologies

Publisher: Springer International Publishing

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Abstract

Recent advances in electroencephalography (EEG) based brain-computer interfaces (BCIs) have led to applications that allow users to control devices such as wheelchairs, prosthetic arms, drones, and gaming systems using cognitive commands. However, software environments used to create these technologies are often designed for expert developers. This research paper investigates the feasibility of JavaScript as a development platform for non-critical BCI systems. We also discuss the current issues with JavaScript-based BCIs and introduce a new library, WebBCI, which is designed to take the initial step towards addressing these issues. Initial benchmarks of WebBCI suggest JavaScript can run common EEG and BCI methods such as band power extraction, common spatial pattern, and linear discriminant analysis in real-time on an array of devices, including mobile phones.

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previous chapter Classification Procedure for Motor Imagery EEG Data

next chapter A Cross-Brain Interaction Platform Based on Neurofeedback Using Electroencephalogram

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Title: WebBCI: An Electroencephalography Toolkit Built on Modern Web Technologies
Authors: Pierce Stegman
Chris Crawford
Jeff Gray
Publisher: Springer International Publishing
Book: Augmented Cognition: Intelligent Technologies
Print ISBN: 978-3-319-91469-5

Electronic ISBN: 978-3-319-91470-1

Copyright Year: 2018
DOI: https://doi.org/10.1007/978-3-319-91470-1_18

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