Brain-machine interface based on transfer-learning for detecting the appearance of obstacles during exoskeleton-assisted walking

Brain-machine interface based on transfer-learning for detecting the appearance of obstacles during exoskeleton-assisted walking

IntroductionBrain-machine interfaces (BMIs) attempt to establish communication between the user and the device to be controlled. BMIs have great challenges to face in order to design a robust control in the real field of application. The artifacts, high volume of training data, and non-stationarity...

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Bibliographic Details
Main Authors: Vicente Quiles, Laura Ferrero, Eduardo Iáñez, Mario Ortiz, Ángel Gil-Agudo, José M. Azorín
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-03-01
Series:Frontiers in Neuroscience
Subjects:
BMI
stopping intention
exoskeleton
EEG
transfer-learning
closed-loop
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2023.1154480/full

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https://www.frontiersin.org/articles/10.3389/fnins.2023.1154480/full

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