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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CITATION STYLE
Stegman, P., Crawford, C., & Gray, J. (2018). WebBCI: An electroencephalography toolkit built on modern web technologies. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10915 LNAI, pp. 212–221). Springer Verlag. https://doi.org/10.1007/978-3-319-91470-1_18
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