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Making Brain Computer Interface Research More Accessible with Tool Tutorials

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Modern Brain Computer Interaction (BCI) research commonly uses advanced data analysis tools to investigate patterns in neural data. These tools, which often use machine learning, are utilized to gain insights from recorded brain data that is too complex to be effectively examined manually. Tools like this are convenient for research use, but their complexity often makes them difficult to learn. Tutorials, therefore, are an essential companion to any useful tool. The contents of this report include a series of tutorials on the NIRS Automated Machine Learning (NAML) and BrainEx data analysis tools. These powerful tools can be used by anyone if they reference these tutorials. Some of the tutorials were created using Jupyter Notebook [2] which allows users to interact with the tutorials as they progress.

  • This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
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Subject
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Identifier
  • E-project-081621-140611
  • 27346
Advisor
Year
  • 2021
UN Sustainable Development Goals
Date created
  • 2021-08-16
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