Improving posture recognition among construction workers through data augmentation with generative adversarial network

Keyphrases

• Data Augmentation 100%
• Construction Workers 100%
• Generative Adversarial Networks 100%
• Posture Recognition 100%
• Network Model 50%
• Deep Neural Network 50%
• Motion Data 33%
• Synthesized Data 33%
• Hybrid Method 16%
• Training Data 16%
• Automated Construction 16%
• Recognition Performance 16%
• Recognition Accuracy 16%
• Wearable Inertial Sensors 16%
• Generation Framework 16%

Engineering

• Network Model 100%
• Construction Worker 100%
• Motion Data 33%
• Units of Measurement 16%
• Hybrid Approach 16%
• Inertial Measurement 16%
• Recognition Accuracy 16%