Exploring Novel Machine Learning Techniques for Brain-Computer Interface (BCI) Applications - Duke Rhodes iiD
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In the BCI race, pilots with quadriplegia use brain- computer interfaces to control avatars in a computer game. The aim of this technology is to control devices such as wheelchairs for people with limited ability to move. Most teams use electroencephalography (EEG) to detect brain signals; however, other methods, such as near infrared spectroscopy (NIRS), are allowed. BCIs that use eye movements to capture thoughts are not allowed. Brain waves can be easily detected with this method, but this is
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