Description
Chapter 1: Application of reinforcement and deep learning techniques in brain machine interfaces.- Chapter 2: Specific muscle activation patterns in athletic and orthopedic populations: considerations for using surface electromyography in assistive and biofeedback device applications.- Chapter 3: Kineto-dynamic modeling of human upper limb for robotic manipulators and assistive applications.- Chapter 4: Learning from the human hand: force control and perception using a soft-synergy prosthetic hand and non-invasive haptic feedback.- Chapter 5: Design of a soft glove-based robotic hand exoskeleton with embedded synergies.- Chapter 6: Model predictive control based knee actuator allocation during a standing-up motion with a powered exoskeleton and functional electrical stimulation.- Chapter 7: Deep brain stimulation for gait and postural disturbances in Parkinson’s disease.- Chapter 8: Cognitive and physiological intent for the adaptation of motor prostheses.- Index.
