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Facebrain: A P300 BCI to Facebook

In: Information Systems and Neuroscience

Author

Listed:
  • Ben Warren

    (Kennesaw State University)

  • Adriane B. Randolph

    (Kennesaw State University)

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.

Suggested Citation

  • Ben Warren & Adriane B. Randolph, 2019. "Facebrain: A P300 BCI to Facebook," Lecture Notes in Information Systems and Organization, in: Fred D. Davis & René Riedl & Jan vom Brocke & Pierre-Majorique Léger & Adriane B. Randolph (ed.), Information Systems and Neuroscience, pages 119-124, Springer.
    • Handle: RePEc:spr:lnichp:978-3-030-01087-4_14
    DOI: 10.1007/978-3-030-01087-4_14
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