A human activity recognition framework using max-min features and key poses with differential evolution random forests classifier

Keyphrases

• Differential Evolution 100%
• Random Forest Classifier 100%
• Key Pose 100%
• Max-min 100%
• Human Activity Recognition 100%
• Random Forest 66%
• Size Dependence 33%
• Feature Extraction 33%
• Well-defined 33%
• Training Examples 33%
• Fast Training 33%
• Training Time 33%
• Extraction Methods 33%
• Temporal Features 33%
• Time Application 33%
• Heuristic Algorithms 33%
• Adjustable Parameters 33%
• Differential Evolution Metaheuristic 33%

Computer Science

• Differential Evolution 100%
• Random Forest Classifier 100%
• Human Activity Recognition 100%
• Random Decision Forest 66%
• Feature Extraction 33%
• Training Example 33%
• Computer Aided Design 33%
• Real-Time Application 33%
• Daily Activity 33%
• Activity Recognition 33%
• Temporal Feature 33%
• Metaheuristic Algorithm 33%
• Average Result 33%
• Meta -Heuristic Algorithm 33%
• Node Splitting 33%