Subject adaptation with deep convolutional neural network for EEG-based motor imagery classification

Subject adaptation with deep convolutional neural network for EEG-based motor imagery classification

Deep learning has emerged as a powerful tool for developing Brain-Computer Interface (BCI) systems. However, the scarcity of subject-specific data results in a marginal performance increase for deep learning models trained entirely on the data from a specific individual. To overcome this, many trans...

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Bibliographic Details
Main Author: Zhang, Kaishuo
Other Authors: Guan Cuntai
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2020
Subjects:
Engineering::Computer science and engineering::Computing methodologies::Pattern recognition
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Online Access:https://hdl.handle.net/10356/138000

Internet

https://hdl.handle.net/10356/138000

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