Undergrad Research Project - Classification of Focus Using Brain-Computer Interfaces

Fall 2014

Student
Peter Wei
Advisor
Pulkit Grover
Project description

The objective of this project is to estimate the concentration of students in a classroom using brain-machine interfaces. The purpose is primarily as a teaching method for students in fundamental signal processing. The methods will begin with collection of brain wave data; we will use a brain-computer interface to collect the data. Once the data has been collected, the data will be interpreted by first using Fourier transforms and then a classifier to separate the data. The classification algorithm is called Linear Discriminant Analysis (LDA), and will help to distinguish the mental focus of students into categories. While it may require some experiments to determine the best way to arrange the electrodes of the brain-computer interface in order to be able to detect a change in focus, we expect to be able to be able to classify successfully the focus of a student. This project can be extended further by tuning the method to other problems such as decision making.

The project will eventually be used to develop a lab for ECE 18-290.

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