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The Effects of Classification Method and Electrode Configuration on EEG-based Silent Speech Classification
Changjie Pan,
Ying Hui Lai
, Fei Chen
生物醫學工程學系
研究成果
:
Conference contribution
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同行評審
4
引文 斯高帕斯(Scopus)
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Keyphrases
Classification Methods
100%
Method Configuration
100%
Electrode Configuration
100%
Speech Classification
100%
Silent Speech
100%
Imagined Speech
100%
EEG Signals
66%
Riemannian Manifold
66%
High Classification Accuracy
33%
Classification Accuracy
33%
Brain-computer Interface
33%
Classification Results
33%
Scalp
33%
Speech Features
33%
EEG Features
33%
Speech-based
33%
Monosyllable
33%
Mandarin Chinese
33%
Whole Brain
33%
Common Spatial Pattern
33%
Silent Speech Interface
33%
Cortical EEG
33%
Engineering
Classification Method
100%
Classification Accuracy
100%
Time Domain
50%
Frequency Domain
50%
Brain-Computer Interface
50%
Recorded Signal
50%
Common Spatial Pattern
50%
Computer Science
Classification Accuracy
100%
Classification Method
100%
Frequency Domain
50%
Computer Interface
50%
classification result
50%
Spatial Pattern
50%
Neuroscience
Brain-Computer Interface
100%