A framework for the integration of the Emotiv EEG System into the NeuCube spiking neural network environment for robotics control
Institution: | AUT University |
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Department: | |
Year: | 0 |
Keywords: | EEG data; NeuCube; Robot control |
Record ID: | 1308926 |
Full text PDF: | http://hdl.handle.net/10292/8514 |
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.