Modeling of human movements became very important as modern methods in informatics
and engeniering are available to discern human movement characteristics that were
hidden before. The construction of models of neural control and mechanical execution
of human movements helps the diagnosis of movement disorders and predicts the outcome
of clinical intervention and medical rehabilitation. Here I present methods for recording
kinematic and muscle activity patterns. Measurements can be compared with predicted
movement patterns based on mathematical models. There are an infinity of different
muscle activity patterns or joint rotation patterns to perform a given motor task.
I present the main approaches that are used to find such solutions from the infinity
of choices that might be employed by the central nervous system. I present a practical
application of movement modeling: In rehabilitation of spinal cord injured patients
we develop and apply artificially controlled neuroprostheses to generate active cycling
lower limb movements in the patients of the National Institute for Medical Rehabilitation.