Convolutional long short-term memory model for recognizing construction workers’ postures from wearable inertial measurement units

Keyphrases

• Construction Workers 100%
• Deep Neural Network 100%
• Recognition Performance 100%
• Machine Learning Models 100%
• Convolutional Long Short-term Memory (ConvLSTM) 100%
• Wearable Inertial Measurement Units 100%
• Convolutional Neural Network 50%
• Model Recognition 50%
• Feature Engineering 50%
• Long Short-term Memory 50%
• Motion Data 25%
• Pattern Detection 25%
• F1 Score 25%
• Construction Site 25%
• Recognition Accuracy 25%
• Feature Learning 25%
• Awkward Posture 25%
• Traditional Machine Learning 25%
• Discriminative Features 25%
• Sequential Pattern 25%
• Convolutional 25%
• Musculoskeletal Risk 25%
• Long Short-term Memory Model 25%
• Model Evaluation 25%
• Individual-based Modeling 25%
• Inertial Measurement Unit Sensors 25%
• Effective Characteristics 25%

Computer Science

• Neural Network Model 100%
• Deep Neural Network 100%
• Recognition Performance 100%
• Measurement Unit 100%
• Memory Model 100%
• Long Short-Term Memory Network 100%
• Machine Learning Model 75%
• Convolutional Neural Network 50%
• Feature Engineering 50%
• Performance Model 25%
• Sequential Pattern 25%
• Pattern Detection 25%
• Recognition Accuracy 25%
• Baseline Model 25%
• Representation Learning 25%
• Discriminative Feature 25%
• Learning System 25%
• Machine Learning 25%
• Captured Motion Data 25%

Chemical Engineering

• Learning System 100%
• Deep Neural Network 100%
• Long Short-Term Memory 100%
• Long Short-Term Memory Network 100%
• Neural Network 50%