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A Framework for the Integration of the Emotiv EEG System into the NeuCube Spiking Neural Network Environment for Robotics Control

Files

Whole thesis(1.41 MB)

Date

2014

Authors

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.

Description

Keywords

EEG data, NeuCube, Robot control

Source

DOI

Publisher's version

Rights statement

Permanent link

https://hdl.handle.net/10292/8514

Collections

Masters Theses