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High Precision Neural Decoding of Complex Movement Trajectories using Recursive Bayesian Estimation with Dynamic Movement Primitives.

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第一作者： Guy,Hotson

第一单位： Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA.

作者： Guy,Hotson ^[1] ; Ryan J,Smith ^[2] ; Adam G,Rouse ^[3] ; Marc H,Schieber ^[3] ; Nitish V,Thakor ^[2] ; Brock A,Wester ^[4]

作者单位： Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA. ^[1] Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA. ^[2] Department of Neurology and Department of Neurobiology and Anatomy, University of Rochester Medical Center, Rochester, New York, USA. ^[3] Johns Hopkins University Applied Physics Laboratory, Laurel, Maryland, USA. ^[4]

关键词 Brain Machine Interface Cognitive Human-Robot Interaction Physically Assistive Devices

DOI 10.1109/LRA.2016.2516590

PMID 28630937

发布时间 2020-10-01

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IEEE robotics and automation letters

2016年1卷2期

676-683页

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IEEE robotics and automation letters

2016年1卷2期

676-683页

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High Precision Neural Decoding of Complex Movement Trajectories using Recursive Bayesian Estimation with Dynamic Movement Primitives.

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High Precision Neural Decoding of Complex Movement Trajectories using Recursive Bayesian Estimation with Dynamic Movement Primitives.

IEEE robotics and automation letters

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