Enhancing multimodal learning through personalized gesture recognition

Keyphrases

• Gesture Recognition 100%
• Multimodal Learning 100%
• Model Use 50%
• Physical Interaction 50%
• Physical Action 50%
• Repeatability 50%
• Strong Connections 50%
• Adaptation Models 50%
• Learning Scenario 50%
• Real-time Learning 50%
• High Classification Accuracy 50%
• Recognition System 50%
• Digital Representation 50%
• Action Representation 50%
• Adaptive User Interface 50%
• Internal Model 50%
• Computer-based Learning Environments 50%
• Recall Tasks 50%
• Hierarchical Hidden Markov Model 50%
• Digital-physical 50%
• Kinematic Features 50%
• Movement-based Interaction 50%
• Multimodal Analytics 50%
• Gesture-based 50%
• Feature Model 50%
• Educational Simulations 50%
• Learning Analytics 50%
• User-defined Gestures 50%
• Gestural Recognition 50%
• Position Kinematics 50%
• Recognition Training 50%
• Personalized Analytics 50%
• Multimodal Learning Environments 50%

Computer Science

• Gesture Recognition 100%
• Multimodal Learning 100%
• Physical Action 33%
• Recognition System 33%
• Recognition Accuracy 33%
• Internal Model 33%
• Learning Analytics 33%
• Digital Representation 33%
• Computer-Assisted Learning 33%