Literature DB >> 32164870

Applications of brain-computer interfaces to the control of robotic and prosthetic arms.

Marco Vilela1, Leigh R Hochberg2.   

Abstract

Brain-computer interfaces (BCIs) have the potential to improve the quality of life of individuals with severe motor disabilities. BCIs capture the user's brain activity and translate it into commands for the control of an effector, such as a computer cursor, robotic limb, or functional electrical stimulation device. Full dexterous manipulation of robotic and prosthetic arms via a BCI system has been a challenge because of the inherent need to decode high dimensional and preferably real-time control commands from the user's neural activity. Nevertheless, such functionality is fundamental if BCI-controlled robotic or prosthetic limbs are to be used for daily activities. In this chapter, we review how this challenge has been addressed by BCI researchers and how new solutions may improve the BCI user experience with robotic effectors.
© 2020 Elsevier B.V. All rights reserved.

Keywords:  BrainGate; Intracortical; Prosthesis; Robot

Mesh:

Year:  2020        PMID: 32164870     DOI: 10.1016/B978-0-444-63934-9.00008-1

Source DB:  PubMed          Journal:  Handb Clin Neurol        ISSN: 0072-9752


  5 in total

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  5 in total

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