Evolutionary Multitasking-Based Multiobjective Optimization Algorithm for Channel Selection in Hybrid Brain Computer Interfacing Systems

Evolutionary Multitasking-Based Multiobjective Optimization Algorithm for Channel Selection in Hybrid Brain Computer Interfacing Systems

Hybrid-modality brain-computer Interfaces (BCIs), which combine motor imagery (MI) bio-signals and steady-state visual evoked potentials (SSVEPs), has attracted wide attention in the research field of neural engineering. The number of channels should be as small as possible for real-life application...

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Bibliographic Details
Main Authors: Tianyu Liu, Zhixiong Xu, Lei Cao, Guowei Tan
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-10-01
Series:Frontiers in Neuroscience
Subjects:
brain-computer interfaces
channel selection
evolutionary multitasking
multiobjective optimization
two-stage framework
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2021.749232/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2021.749232/full

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