Sensor-Based Multifaceted Feature Extraction and Ensemble Elastic Net Approach for Assessing Fall Risk in Community-Dwelling Older Adults

Keyphrases

• Feature Extraction 100%
• Sensor-based 100%
• Fall Risk 100%
• Community-dwelling Older Adults 100%
• Elastic Net 100%
• Feature Ensemble 100%
• Nonlinear Features 40%
• Base Classifier 40%
• Performance Prediction 20%
• Nonlinear Characteristics 20%
• Extraction Scheme 20%
• Comparative Analysis 20%
• Validation Experiment 20%
• Multi-task 20%
• Fall-related Injuries 20%
• Gait 20%
• Self-similarity 20%
• Viable Approach 20%
• Accurate Identification 20%
• Spatiotemporal 20%
• Local Stability 20%
• Motion Data 20%
• Weighting Mechanism 20%
• Fall Risk Assessment 20%
• Feature Modeling 20%
• Bootstrap Sampling 20%
• Cost-effective Tool 20%
• High Fall 20%
• Signal Complexity 20%
• Model Interpretability 20%
• Limited Consideration 20%
• Three-axis Accelerometer 20%
• Continuous Health Monitoring 20%
• Diverse Features 20%
• Three-axis Gyroscope 20%
• Task Scenario 20%
• Timely Intervention 20%
• Sensor Signals 20%
• Descriptive Statistical 20%
• Handling Imbalanced Data 20%
• Fall Risk Classification 20%
• Dynamic Systems Perspective 20%

Computer Science

• Feature Extraction 100%
• Base Classifier 66%
• Linear Feature 66%
• Interpretability 33%
• Imbalanced Data 33%
• Related Feature 33%
• Comparative Analysis 33%
• Predictive Performance 33%
• System Dynamics 33%
• Spectral Feature 33%
• Axis Accelerometer 33%