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Using Machine Learning and Brain Waves to Detect Errors in Human Problem Solving


The Muse Headband is a simple to use EEG machine. Using this headband, a python model was developed using big data and machine learning techniques to interpret brain wave patterns to create a feedback system that helps the user understand their cognitive thinking while solving a problem.

As more medical devices become cheaper and readily available to the public, they can be used in everyday life. The Muse Headband is an EEG machine that provides realtime measurements of brain waves. This talk will discuss the process of gathering and cleaning the data from the headband, using Keras to develop a model, and creating a basic real-time feedback end user program.


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