This text describes non-conventional methods of control of human extremities, emphasizing the fact that conventional approaches used in robotics are limited when used in humans for restoration of reaching and grasping (goal-oriented movements), standing and locomotion (cyclic movements). The use of artificial neural networks, inductive learning, skill-based expert systems and finite-state representation of movements is the base of this non-conventional control theory. A specific number of realized applications are included in the book to illustrate how these computer techniques can improve...