An empirical framework for detecting speaking modes using ensemble classifier

Keyphrases

• Deep Learning Methods 100%
• Ensemble Classifier 100%
• Mouth State 100%
• Popular 50%
• Comparative Analysis 50%
• Noise Illumination 50%
• Illumination Change 50%
• Student Engagement 50%
• Videoconferencing 50%
• Best Model 50%
• Student Attention 50%
• Video Stream 50%
• System Integration 50%
• ResNet50 50%
• VGG19 50%
• VGG16 50%
• Ensemble Methods 50%
• Video Lectures 50%
• Region Extraction 50%
• Driver Distraction 50%
• Low Contrast 50%
• ResNet18 50%
• Live Video 50%
• InceptionV3 50%
• Multi-task Cascaded Neural Network 50%
• Image Frame 50%
• Detection Module 50%
• Noisy Image 50%
• State Detection 50%
• State Prediction 50%
• Automatic Algorithm 50%
• Viewing Conditions 50%
• Image Noise 50%

Computer Science

• ensemble classifier 100%
• Deep Learning Method 100%
• Neural Network 50%
• Videoconferencing 50%
• Support Vector Machine 50%
• Ensemble Technique 50%
• Image Noise 50%
• VGG-19 Convolutional Neural Network 50%
• Integrated System 50%
• Comparative Analysis 50%
• ResNet50 50%
• Viewing Condition 50%
• Inception V3 50%
• Student Engagement 50%
• Convolutional Neural Network 50%
• Experimental Result 50%
• Learning Approach 50%