Low-Dimensional Subject Representation-Based Transfer Learning in EEG Decoding

Low-Dimensional Subject Representation-Based Transfer Learning in EEG Decoding

Recently, the advances in passive brain-computer interfaces (BCIs) based on electroencephalogram (EEG) have shed light on real-world neuromonitoring technologies. However, human variability in the EEG activities hinders the development of practical applications of EEG-based BCI. To tackle this probl...

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Bibliographic Details
Main Authors: Jeng, P.-Y (Author), Jung, T.-P (Author), Wang, L.-C (Author), Wei, C.-S (Author)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2021
Subjects:
accuracy
algorithm
Algorithms
Article
brain
Brain
brain computer interface
Brain computer interface
Brain computer interfaces (BCIs)
brain depth stimulation
Brain-computer interface
Brain-Computer Interfaces
calibration
Calibration
Decoding
electrocardiography
electroencephalogram
Electro-encephalogram (EEG)
electroencephalography
Electroencephalography
entropy
event related potential
genetic algorithm
human
human experiment
Humans
learning algorithm
Learning frameworks
Learning techniques
Low-dimensional representation
machine learning
Machine Learning
nerve cell network
neuromonitoring
normal human
prediction
Prediction accuracy
principal component analysis
quantitative structure activity relation
Riemannian manifold
spectroscopy
support vector machine
Tensor decomposition
time series analysis
training
Transfer learning
transfer learning and tensor decomposition
transfer of learning
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