Facebrain: A P300 BCI to Facebook

Ben Warren () and Adriane B. Randolph ()
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Ben Warren: Kennesaw State University
Adriane B. Randolph: Kennesaw State University

A chapter in Information Systems and Neuroscience, 2019, pp 119-124 from Springer

Abstract: 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.

Keywords: Brain computer interface; EEG; P300; BCI2000; Python; Facebook; Communication (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1007/978-3-030-01087-4_14

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