Advancing Real-Time Physiological Health Monitoring in Construction: A Feasibility Study of Fatigue Estimation of Construction Workers on Smart Devices

Keyphrases

• Health Monitoring 100%
• Construction Workers 100%
• Smart Devices 100%
• Physical Fatigue 100%
• Fatigue Estimation 100%
• Physiological Health 100%
• Latency 66%
• Physiological Sensing 66%
• Construction Health 66%
• Temperature Signal 33%
• Smartphone 33%
• Performance Enhancement 33%
• Estimation Framework 33%
• Dynamic Field 33%
• Heat Stress 33%
• Quantization Technique 33%
• Construction Site 33%
• Optimization Framework 33%
• Skin Temperature 33%
• Health Monitoring System 33%
• Machine Learning 33%
• Data Transmission 33%
• Privacy Concerns 33%
• Construction Industry 33%
• Machine Learning Algorithms 33%
• Lightweight Devices 33%
• Health Parameters 33%
• Cloud-based 33%
• Electrodermal Activity 33%
• Deep Neural Network 33%
• Technology Learning 33%
• Photoplethysmography 33%
• Mental Stress 33%
• On-site Workers 33%
• GPU 33%
• Wearable Sensor Technology 33%

Computer Science

• Monitoring System 100%
• Privacy Concern 100%
• Smart Device 100%
• Machine Learning Algorithm 100%
• Performance Enhancement 100%
• Deep Neural Network 100%
• Machine Learning 100%
• Learning System 100%
• Graphics Processing Unit 100%

Physics

• Machine Learning 100%
• Data Transmission 50%
• Wearable Sensors 50%
• Deep Neural Network 50%