LSTM-modeling of continuous emotions in an audiovisual affect recognition framework

Keyphrases

• Long Short-term Memory 100%
• Affect Recognition 100%
• Memory Models 100%
• Continuous Emotion 100%
• Visual Features 66%
• Acoustic Features 66%
• Recent Advances 33%
• Challenging Tasks 33%
• Human Emotions 33%
• Interaction Scenario 33%
• Valence 33%
• Real-life Data 33%
• Fully-automatic 33%
• Linguistic Features 33%
• Human-computer Interaction 33%
• Feature Extractor 33%
• Recognition Performance 33%
• Context Modeling 33%
• Long Short-term Memory Network 33%
• Arousal 33%
• Affective Dimension 33%
• Emotion Recognition 33%
• Affective Computing 33%
• Video Features 33%
• Movement Feature 33%
• Recognition Score 33%
• Facial Movement 33%
• Word-level 33%
• Audio Features 33%
• Non-prototypical 33%
• Audio-visual Recognition 33%
• Memory-based Technique 33%
• SEMAINE 33%
• Emotion Representation 33%
• Audio-visual Emotion 33%

Computer Science

• Long Short-Term Memory Network 100%
• Visual Feature 66%
• Acoustic Feature 66%
• Human Computer Interaction 33%
• Recognition Performance 33%
• Affective Computing 33%
• Optimal Amount 33%
• Lstm 33%