A new method proposed for realizing human gait pattern recognition: Inspirations for the application of sports and clinical gait analysis

Keyphrases

• Human Gait 100%
• Gait Recognition 100%
• Gait Features 100%
• Clinical Gait Analysis 100%
• Metaheuristic Optimization 50%
• Optimal Gait 40%
• Feature-based 30%
• Selected Features 20%
• Optimization Approach 20%
• Feature Extraction 20%
• Algorithmic Modeling 20%
• Reconstructed Waveform 20%
• Clinical Gait 20%
• Feature Selection Methods 10%
• Feature Selection 10%
• Ankle 10%
• Knee 10%
• Classification Algorithms 10%
• Stance Phase 10%
• Population-based Metaheuristics 10%
• Gait Pattern 10%
• Redundant Variables 10%
• Biomechanical Variables 10%
• Mechanical Characteristics 10%
• Best Subset 10%
• Curve-based 10%
• Gait Dataset 10%
• Sequential Forward Selection 10%
• Background Findings 10%
• Feature Select 10%

Engineering

• Pattern Recognition 100%
• Gait Analysis 100%
• Gait Pattern 100%
• Metaheuristic Optimization 83%
• Feature Extraction 66%
• Classification Algorithm 16%
• Stance Phase 16%
• Optimization Technique 16%
• Selection Method 16%
• Effect Size 16%

Computer Science

• Pattern Recognition 100%
• Gait Analysis 100%
• Feature Extraction 60%
• Metaheuristics 60%
• Feature Selection 40%
• Metaheuristic Optimization Algorithm 40%
• Optimization Technique 20%
• Classification Algorithm 20%
• Difference Pattern 20%
• Sequential Forward 20%
• Forward Selection 20%