Description

The consideration of discrete motor primitives in models of human motor control is essential for the realistic prediction of voluntary movements. In this book a formal movement model is derived from neurobiological findings as well as new identification and learning methods are presented for the secured determination of the model parameters. Both the model and the identification methods are demonstrated using the example of predicting human driver steering movements.