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- Type of Document: M.Sc. Thesis
- Language: Farsi
- Document No: 41575 (05)
- University: Sharif University of Technology
- Department: Electrical Engineering
- Advisor(s): Shamsollahi, Mohammad Bagher
- Abstract:
- The aim of this project is designing and implementation of a BCI for interacting with virtual environments. BCI is an interface between brain and computer that connect those by translating brain signals into understandable instruction for computer. There are different ways to generate brain states for classification in BCI technology. One of those, is based on motor imagery (MI). In this project, we used motor imagery of left hand, right hand and foot. subject training in this kind of BCI (MI-based BCI) is very vital. in order to speed up subject training period and consequently enhance the separability of brain states, computer graphics and virtual environments are used to excite the subject. There are different methods for navigation in virtual environments. The performance of BCI and subject can be evaluated by performance of subject in virtual environment. For example, we can give a task to subject to perform in virtual environment and the results will indicate the accuracy and performance of the BCI system. In this project, a virtual home is simulated and the subject is instructed to navigate in. The accuracy of decisions and elapsed time for virtual home navigation are used for subject evaluation. The best accuracy in this paradigm, reached to 85% for three MI classes
- Keywords:
- Signal Processing ; Brain-Computer Interface (BCI) ; Motor Imagery (MI) ; Virtual Reality (VR)Environment
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