Journals Proceedings

International Journal of Artificial Intelligence and Neural Networks

A Cost Effective Approach for the Practical Realisation of A Demonstration Platform for Brain Machine Interface



Over the last two decades, human brain functions have attracted a significant attention among researchers across a broad engineering spectrum. The most important field among the others, is Brain Computer Interface (BCI) which is a direct functional interaction between a human brain and external devices. In the past, the set-up for BCI research is costly and complex. In this paper, a cost effective way of implementing and designing a demonstration platform for BCI research is presented, featuring a low-cost hardware implementation based on an open-source electronics platform Arduino® with the view of being compatible with MATLAB® and Simulink®, and a commercial non-invasive electroencephalogram (EEG) recording device, Emotive®. Due to the compatibility with MATLAB® and Simulink®, and the chosen EEG logging device, the developed hardware and software platform can work seamlessly with several widely accepted BCI and EEG signal processing open-source software within the BCI research community, such as EEGLAB and OpenViBE. With the two-way communication and hardware-in-the-loop concept embedded within the design process, the developed platform can be tuned in an online fashion, which bears the long-term objective of investigating a holistic human-in-the-loop feedback control mechanism so that human and machines can collaborate in a more intelligent and natural way. The presented approach can be beneficial for BCI practitioners to set up their first inexpensive test rig and carry out fast prototyping in related activities.

No fo Author(s) : 4
Page(s) : 32 - 37
Electronic ISSN : 2250-3749
Volume 5 : Issue 1
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