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نمایش تعداد 1-3 از 3

Joint Spatial-Spectral Feature Space Clustering for Speech Activity Detection from ECoG Signals

نوع: Journal Paper

نویسنده : Kanas, Vasileios G.; Mporas, Iosif; Benz, Heather L.; Sgarbas, Kyriakos N.; Bezerianos, Anastasios; Crone, Nathan E.

ناشر: IEEE

سال: 2014

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

نوع: Journal Paper

نویسنده : McMullen, David P.; Hotson, Guy; Katyal, Kapil D.; Wester, Brock /A/.; Fifer, Matthew S.; McGee, Timothy G.; Harris, Alan; Johannes, Matthew S.; Vogelstein, R. Jacob; Ravitz, Alan D.; Anderson, William S.; Thakor, Nitish V.; Crone, Nathan E.

ناشر: IEEE

سال: 2014

Simultaneous Neural Control of Simple Reaching and Grasping With the Modular Prosthetic Limb Using Intracranial EEG

نوع: Journal Paper

نویسنده : Fifer, Matthew S.; Hotson, Guy; Wester, Brock /A/.; McMullen, David P.; Wang, Yannan; Johannes, Matthew S.; Katyal, Kapil D.; Helder, John B.; Para, Matthew P.; Vogelstein, R. Jacob; Anderson, William S.; Thakor, Nitish V.; Crone, Nathan E.

ناشر: IEEE

سال: 2014

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Joint Spatial-Spectral Feature Space Clustering for Speech Activity Detection from ECoG Signals

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

Simultaneous Neural Control of Simple Reaching and Grasping With the Modular Prosthetic Limb Using Intracranial EEG

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Joint Spatial-Spectral Feature Space Clustering for Speech Activity Detection from ECoG Signals

Demonstration of a Semi-Autonomous Hybrid Brain&#x2013;Machine Interface Using Human Intracranial EEG, Eye Tracking, and Computer Vision to Control a Robotic Upper Limb Prosthetic

Simultaneous Neural Control of Simple Reaching and Grasping With the Modular Prosthetic Limb Using Intracranial EEG

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