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

aut.embargoNoen_NZ
aut.thirdpc.containsNoen_NZ
aut.thirdpc.permissionNoen_NZ
aut.thirdpc.removedNoen_NZ
dc.contributor.advisorKasabov, Nikola
dc.contributor.advisorScott, Nathan
dc.contributor.authorWang, Jianfei
dc.date.accessioned2015-03-22T23:04:01Z
dc.date.available2015-03-22T23:04:01Z
dc.date.copyright2014
dc.date.created2015
dc.date.issued2014
dc.date.updated2015-03-22T09:49:41Z
dc.description.abstractAs 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.en_NZ
dc.identifier.urihttps://hdl.handle.net/10292/8514
dc.language.isoenen_NZ
dc.publisherAuckland University of Technology
dc.rights.accessrightsOpenAccess
dc.subjectEEG dataen_NZ
dc.subjectNeuCubeen_NZ
dc.subjectRobot controlen_NZ
dc.titleA framework for the integration of the Emotiv EEG System into the NeuCube spiking neural network environment for robotics controlen_NZ
dc.typeThesis
thesis.degree.discipline
thesis.degree.grantorAuckland University of Technology
thesis.degree.grantorAuckland University of Technology
thesis.degree.levelMasters Theses
thesis.degree.nameMaster of Computer and Information Sciencesen_NZ
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