A framework for the integration of the Emotiv EEG System into the NeuCube spiking neural network environment for robotics control

Date
2014
Authors
Wang, Jianfei
Supervisor
Kasabov, Nikola
Scott, Nathan
Item type
Thesis
Degree name
Master of Computer and Information Sciences
Journal Title
Journal ISSN
Volume Title
Publisher
Auckland University of Technology
Abstract

As BCI has been widely studied in recent years, lots of BCI applications have been de-veloped. In this thesis, to implement BCI into individual devices is simulated by con-trolling a robot. Before discussing the experiment, a literature review is outlined. As the experiment is based on the Emotiv system, a framework of implementing the Emotiv system on NeuCube is stated. The objective is to develop a new feature on NeuCube, which can record EEG data in real-time through the Emotiv headset. The limitations and potential future research areas are highlighted at the end.

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Keywords
EEG data , NeuCube , Robot control
Source
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