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Description
Title: | Controlling Virtual Simulation Using Brain-Machine Interfaces |
Author(s): | Chung, Se-Joon |
Contributor(s): | Coleman, Todd |
Subject(s): | cluster computing
cluster computing algorithms cluster computing performance task assignment |
Abstract: | This project aims to introduce an improved application of brain-machine interfaces (BMI) to controlling virtual-reality simulations. Although frequently seen in science fiction, combining brain-machine interfaces with virtual-reality is a relatively unexplored field. In our setup, a test subject navigated around a virtual maze using electroencephalography (EEG) signals produced from imagining the use of his left or right hand. Using the non-linear filter algorithm for motor imagery classification, the test subject was able to navigate about the virtual-reality maze in the Illinois Simulator Laboratory. Experiments show that the test subject is able to follow a path in a 4x4 maze with error rates ranging between 0 to 8.70%. |
Issue Date: | 2012-05 |
Genre: | Other |
Type: | Text |
Language: | English |
URI: | http://hdl.handle.net/2142/46518 |
Publication Status: | unpublished |
Peer Reviewed: | not peer reviewed |
Date Available in IDEALS: | 2014-01-10 |
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Senior Theses - Electrical and Computer Engineering
The best of ECE undergraduate research