Abstract
Facebrain is a novel brain-computer interface utilizing the P300 signal as input for interacting with the Facebook social media platform. Electroencephalography along with the open-source BCI2000 software suite is used for both obtaining and processing the signals. Additionally, BCPy2000, an add-on allowing BCI2000 modules to be written in the scripting language Python, is utilized to allow for rapid interface generation, promoting extensibility, and a cross-platform solution. Users are able to select basic Facebook operations via a P300 matrix and then activate a P300 speller as needed for text input. Overall, the purpose of the system is to allow functional, hands-free, and voiceless access to Facebook’s main features including, but not limited to, searching for and adding friends, making posts, using the chat system, and browsing profiles.
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Warren, B., Randolph, A.B. (2019). Facebrain: A P300 BCI to Facebook. In: Davis, F., Riedl, R., vom Brocke, J., Léger, PM., Randolph, A. (eds) Information Systems and Neuroscience. Lecture Notes in Information Systems and Organisation, vol 29. Springer, Cham. https://doi.org/10.1007/978-3-030-01087-4_14
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DOI: https://doi.org/10.1007/978-3-030-01087-4_14
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