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...
Main Author: | Wilbert McClay |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-09-01
|
Series: | Diseases |
Subjects: | |
Online Access: | http://www.mdpi.com/2079-9721/6/4/89 |
Similar Items
-
The Transition from RDBMS to NoSQL. A Comparative Analysis of Three Popular Non-Relational Solutions: Cassandra, MongoDB and Couchbase
by: Cristina BAZAR, et al.
Published: (2014-09-01) -
The MongoDB injection dataset: A comprehensive collection of MongoDB - NoSQL injection attempts and vulnerabilities
by: Rameshwar D․ L․, et al.
Published: (2024-06-01) -
MongoDB Database as Storage for GPON Frames
by: Martin Holik, et al.
Published: (2020-10-01) -
Agregando Semántica a MongoDB
by: Nicolás Padula
Published: (2018-10-01) -
RUNTIME PERFORMANCE BENCHMARKING FOR NOSQL DATABASES
by: Camelia-Florina ANDOR, et al.
Published: (2019-06-01)