Demonstration of a Semi-Autonomous Hybrid Brain-Machine Interface using Human Intracranial EEG, Eye Tracking, and Computer Vision to Control a Robotic Upper Limb Prosthetic

To increase the ability of brain-machine interfaces (BMIs) to control advanced prostheses such as the modular prosthetic limb (MPL), we are developing a novel system: the Hybrid Augmented Reality Multimodal Operation Neural Integration Environment (HARMONIE). This system utilizes hybrid input, super...

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Detalhes bibliográficos
Main Authors: McMullen, David P., Hotson, Guy, Katyal, Kapil D., Wester, Brock A., Fifer, Matthew S., McGee, Timothy G., Harris, Andrew, Johannes, Matthew S., Vogelstein, R. Jacob, Ravitz, Alan D., Anderson, William S., Thakor, Nitish V., Crone, Nathan E.
Formato: Artigo
Idioma:Inglês
Publicado em: 2013
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4057363/
https://ncbi.nlm.nih.gov/pubmed/24760914
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TNSRE.2013.2294685
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