STATE-SPACE CHARACTERIZATION OF HUMAN BALANCE THROUGH A REINFORCEMENT LEARNING BASED MUSCLE CONTROLLER

Keyphrases

• Learning-based 100%
• Controller 100%
• State Space 100%
• Reinforcement Learning 100%
• Human Balance 100%
• Center of Mass 80%
• Musculoskeletal Modeling 40%
• Balance Recovery 40%
• Neural Network 20%
• Neural Network Model 20%
• Physical Rehabilitation 20%
• Random Initial Conditions 20%
• Center of Pressure 20%
• Muscle Activation 20%
• Stability Margin 20%
• Initial Centers 20%
• Battery Testing 20%
• Reinforcement Learning Framework 20%
• Whole-body Movement 20%
• Linear Inverted Pendulum 20%
• Balance Assessment 20%
• Recovery Trajectory 20%
• Rehabilitation Program 20%
• Joint Trajectory 20%
• Combination Control 20%
• Physical Assessment 20%
• Physical Capability 20%

Computer Science

• Reinforcement Learning 100%
• State Space 100%
• Space Characterization 100%
• Neural Network 33%
• Learning Framework 33%
• Neural Network Model 33%
• Missing Information 33%
• Rehabilitation Program 33%
• Physical Capability 33%

Engineering

• Reinforcement Learning 100%
• State Mass 100%
• Space Characterization 100%
• Joints (Structural Components) 25%
• Battery (Electrochemical Energy Engineering) 25%
• Initial State 25%
• Network Model 25%
• Inverted Pendulum 25%