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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Auteurs principaux: 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.
Format: Artigo
Langue:Inglês
Publié: 2013
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Article
Accès en ligne: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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