Inter-session Transfer Learning in MI Based BCI for Controlling a Lower-Limb Exoskeleton

Ferrero, Laura; Quiles, Vicente; Ortiz, Mario; Juan, Javier V.; Íáñez, Eduardo; Azorín, José M.

doi:10.1007/978-3-031-06527-9_24

Cited by 1 publication

(1 citation statement)

References 17 publications

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“…In addition to the shorter calibration phase, participants could provide better performance when transfer learning was applied. However, changes in EEG properties were likely to interfere with the test results [18]. Besides, a new transfer learning method, which is a hybrid of Euclidean alignment and transfer component analysis, has been proved to provide better performance than conventional TL methods in the calibration phase.…”

Section: Novel Mi-bci Techniques and Designs: From Classification To ...mentioning

confidence: 99%

Motor Imagery-based BCI Perspective in Procedure and Analysis

Zhong¹

2023

HSET

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Motor Imagery (MI) is a cognitive exercise that can be utilized in motor rehabilitation. Using brain-computer interfaces (BCIs) is a practical technique to link computers and human brains, which can acquire and understand human brain signals when performing. MI-BCI has been proven effective to help the paralyzed regain basic movement controls. However, some problems are hindering the development of MI-BCI. Predecessors have proposed relevant methods to resolve them. Thus, it is important to learn about MI-BCI comprehensively and understand some novel methods to improve the performance of MI-BCI. Collecting and reviewing other essays, the study focuses on the structure and lists new applications of MI-BCI especially about the use of deep learning. The study also discusses self-paced training during the calibration phase and deep learning approaches for potential fields. Finally, the analysis of applications and four possible future directions are posed in the discussion, hoping to offer some useful advice to improve MI-based BCI.

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Section: Novel Mi-bci Techniques and Designs: From Classification To ...mentioning

confidence: 99%

Motor Imagery-based BCI Perspective in Procedure and Analysis

Zhong¹

2023

HSET

View full text Add to dashboard Cite

show abstract

Inter-session Transfer Learning in MI Based BCI for Controlling a Lower-Limb Exoskeleton

Cited by 1 publication

References 17 publications

Motor Imagery-based BCI Perspective in Procedure and Analysis

Motor Imagery-based BCI Perspective in Procedure and Analysis

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