Pre-Impact Firefighter Fall Detection Using Machine Learning on the Edge

Keyphrases

• Machine Learning 100%
• Firefighters 100%
• Fall Detection 100%
• Pre-impact 100%
• Fall Detection System 40%
• Machine Learning Learning 40%
• Ensemble Learning Method 40%
• Machine Ensemble 40%
• Threshold Method 20%
• Healthcare 20%
• Network Architecture 20%
• Parameter Optimization 20%
• Processing Time 20%
• Class Imbalance 20%
• Real-time Performance 20%
• Time Application 20%
• Remote Monitoring 20%
• Decision Tree Classifier 20%
• Few Samples 20%
• Edge Nodes 20%
• Pre-impact Fall Detection 20%
• Imbalanced Issue 20%
• Timing Accuracy 20%
• Rescue Mission 20%
• Impact Phase 20%
• Processing Accuracy 20%
• Heterogeneous IoT Networks 20%
• Incident Commander 20%

Computer Science

• Machine Learning 100%
• Ensemble Learning 66%
• Experimental Result 33%
• Internet of Things 33%
• Network Architecture 33%
• Real-Time Application 33%
• Processing Time 33%
• Remote Monitoring 33%
• Real Time Performance 33%
• Decision Tree Classifier 33%
• Heterogeneous System 33%
• Incident Commander 33%

Engineering

• Fall Detection 100%
• Experimental Result 25%
• Nodes 25%
• Internet of Things 25%
• Heterogeneous System 25%
• Lead Time 25%
• Processing Time 25%