Recognizing emotions from an ensemble of features

Keyphrases

• Automatic Algorithm 50%
• Classification Accuracy 50%
• Classification Task 50%
• Emotion Recognition 100%
• Emotion Recognition Ability 50%
• Face Detection 50%
• Face Recognition 50%
• Facial Expression Analysis 50%
• Facial Expression Recognition 50%
• Feature Generation 50%
• Gaussianization 50%
• Geneva 50%
• Key Point Identification 50%
• Manual Identification 50%
• Motion Features 50%
• Multimodal Emotion 50%
• Person-independent 100%
• Person-specific 100%
• Scale-invariant Feature Transform 50%
• Subject-dependent 50%
• Subject-independent Emotion Recognition 50%
• Support Vector Machine 50%

Computer Science

• Classification Stage 100%
• Classification Task 100%
• Expression Recognition 100%
• Face Detection 100%
• Face Recognition 100%
• Facial Expression 100%
• Feature Generation 100%
• Motion Feature 100%
• Recognition Performance 100%
• Scale-Invariant Feature Transform 100%
• Support Vector Machine 100%