University of Illinois Urbana-Champaign

Controlling Virtual Simulation Using Brain-Machine Interfaces

Chung, Se-Joon

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https://hdl.handle.net/2142/46518

Description

Title
Controlling Virtual Simulation Using Brain-Machine Interfaces
Author(s)
Chung, Se-Joon
Contributor(s)
Coleman, Todd
Issue Date
2012-05
Keyword(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%.
Type of Resource
text
Language
en
Permalink
http://hdl.handle.net/2142/46518

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