Improving Performance of Motor Imagery-Based Brain–Computer Interface in Poorly Performing Subjects Using a Hybrid-Imagery Method Utilizing Combined Motor and Somatosensory Activity

Improving Performance of Motor Imagery-Based Brain–Computer Interface in Poorly Performing Subjects Using a Hybrid-Imagery Method Utilizing Combined Motor and Somatosensory Activity

The phenomena of brain-computer interface-inefficiency in transfer rates and reliability can hinder development and use of brain-computer interface technology. This study aimed to enhance the classification performance of motor imagery-based brain-computer interface (three-class: left hand, right ha...

Full description

Bibliographic Details
Main Authors: Sangin Park, Jihyeon Ha, Laehyun Kim
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
BCI inefficient
brain-computer interface
motor imagery
motor imagery training
somatosensory stimuli
Online Access:https://ieeexplore.ieee.org/document/10018407/

Internet

https://ieeexplore.ieee.org/document/10018407/

Similar Items