Motor-Imagery Classification Using Riemannian Geometry with Median Absolute Deviation

Motor-Imagery Classification Using Riemannian Geometry with Median Absolute Deviation

Motor imagery (MI) from human brain signals can diagnose or aid specific physical activities for rehabilitation, recreation, device control, and technology assistance. It is a dynamic state in learning and practicing movement tracking when a person mentally imitates physical activity. Recently, it h...

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Bibliographic Details
Main Authors: Abu Saleh Musa Miah, Md Abdur Rahim, Jungpil Shin
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Electronics
Subjects:
brain–computer interface
electroencephalogram (EEG)
motor imagery
Riemannian geometry
median absolute deviation
linear discriminant analysis
Online Access:https://www.mdpi.com/2079-9292/9/10/1584

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https://www.mdpi.com/2079-9292/9/10/1584

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