Walking is body's natural means of moving
from one location to another. Functional versatility allows
the lower limbs to readily accommodate stairs, doorways and
obstacles in the path of progression. Therefore, as
standing-up and sitting-down are prerequisite for walking
and independent mobility they are considered two of the most
demanding activities. Despite that, current walking systems
do not integrate robust controllers for standing-up and
sitting-down. Designing an optimal controller using
functional electrical stimulation (FES) and artificial
intelligence aiming to achieve near-normal dynamics is
important yet many factors including the dynamics
nonlinearity and the upper limb force need to be considered.
This book, therefore, aims to represent a design of an
FES-supported standing-up and sitting-down optimal
controller integrated with an intention detection system.
The analysis of the book gives an overview about
rehabilitation, genetic algorithms, neural networks, fuzzy
systems, and wavelet analysis techniques to the readers. It
starts from the very basic concepts building its way up to
the current techniques used in biological modelling and
control systems design.