Analysis of EEG data for attention-driven control of BCI based neuro-feedback game
95 p.
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sg-ntu-dr.10356-471602023-03-11T17:02:43Z Analysis of EEG data for attention-driven control of BCI based neuro-feedback game Vrinda Vinod Vinod Achutavarrier Prasad School of Mechanical and Aerospace Engineering DRNTU::Engineering 95 p. Brain Computer Interface (BCI) is a rapidly emerging technology which involves developing a path between the human brain and the computer. Recording of the brain waves may be invasive or non-invasive. Invasive method involves the implantation of the electrode into the brain and is accurate whereas non-invasive methods like EEG involves acquisition of the signals from the scalp and is convenient and safe. The signals thus recorded find its use in a wide range of applications especially in serving as a communication device for the physically deprived individuals with complete paralysis. Examples include the spelling system and the control for robotic arm or prostheses. Master of Science (Biomedical Engineering) 2011-12-27T06:30:23Z 2011-12-27T06:30:23Z 2009 2009 Thesis http://hdl.handle.net/10356/47160 Nanyang Technological University application/pdf |
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DRNTU::Engineering Vrinda Vinod Analysis of EEG data for attention-driven control of BCI based neuro-feedback game |
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95 p. |
author2 |
Vinod Achutavarrier Prasad |
author_facet |
Vinod Achutavarrier Prasad Vrinda Vinod |
format |
Theses and Dissertations |
author |
Vrinda Vinod |
author_sort |
Vrinda Vinod |
title |
Analysis of EEG data for attention-driven control of BCI based neuro-feedback game |
title_short |
Analysis of EEG data for attention-driven control of BCI based neuro-feedback game |
title_full |
Analysis of EEG data for attention-driven control of BCI based neuro-feedback game |
title_fullStr |
Analysis of EEG data for attention-driven control of BCI based neuro-feedback game |
title_full_unstemmed |
Analysis of EEG data for attention-driven control of BCI based neuro-feedback game |
title_sort |
analysis of eeg data for attention-driven control of bci based neuro-feedback game |
publishDate |
2011 |
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http://hdl.handle.net/10356/47160 |
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1761781834216112128 |