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Recognizing facial action units using independent component analysis and support vector machine
Chao Fa Chuang,
Frank Y. Shih
Computer Science
Research output
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Contribution to journal
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peer-review
79
Scopus citations
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Dive into the research topics of 'Recognizing facial action units using independent component analysis and support vector machine'. Together they form a unique fingerprint.
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Keyphrases
International Cooperative Ataxia Rating Scale (ICARS)
100%
Support Vector Machine
100%
Facial Expression
100%
Facial Action Units
100%
Social Interaction
50%
Cognitive Processes
50%
Existing System
50%
Feature Extraction Methods
50%
Behavioral Measures
50%
Human Emotions
50%
Subtle Change
50%
Feature Representation Methods
50%
Pattern Classifier
50%
High Recognition Rate
50%
Process Interaction
50%
Computer Science
Independent Component Analysis
100%
Support Vector Machine
100%
facial action
100%
Facial Expression
100%
Representation Method
50%
Feature Extraction
50%
Recognition Rate
50%
Behavioral Measure
50%