Enhancing motor imagery detection efficacy using multisensory virtual reality priming

Enhancing motor imagery detection efficacy using multisensory virtual reality priming

Brain-computer interfaces (BCI) have been developed to allow users to communicate with the external world by translating brain activity into control signals. Motor imagery (MI) has been a popular paradigm in BCI control where the user imagines movements of e.g., their left and right limbs and classi...

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Bibliographic Details
Main Authors: Reza Amini Gougeh, Tiago H. Falk
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-04-01
Series:Frontiers in Neuroergonomics
Subjects:
brain-computer interface
motor imagery
multisensory priming
virtual reality
haptics
force feedback
Online Access:https://www.frontiersin.org/articles/10.3389/fnrgo.2023.1080200/full

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