A Magnetoencephalographic/Encephalographic (MEG/EEG) Brain-Computer Interface Driver for Interactive iOS Mobile Videogame Applications Utilizing the Hadoop Ecosystem, MongoDB, and Cassandra NoSQL Databases

A Magnetoencephalographic/Encephalographic (MEG/EEG) Brain-Computer Interface Driver for Interactive iOS Mobile Videogame Applications Utilizing the Hadoop Ecosystem, MongoDB, and Cassandra NoSQL Databases

In Phase I, we collected data on five subjects yielding over 90% positive performance in Magnetoencephalographic (MEG) mid-and post-movement activity. In addition, a driver was developed that substituted the actions of the Brain Computer Interface (BCI) as mouse button presses for real-time use in v...

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Bibliographic Details
Main Author: Wilbert McClay
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Diseases
Subjects:
brain-computer interface
machine learning algorithms
encephalographic (EEG)
magnetoencephalographic (MEG)
Hadoop Ecosystem
iOS Mobile Applications
MongoDB
Cassandra
Emotiv EPOC headset
OpenVibe
Online Access:http://www.mdpi.com/2079-9721/6/4/89

Internet

http://www.mdpi.com/2079-9721/6/4/89

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