ABSTRACT
The article is the result of a preliminary study concerning the possibility of simulating human arm movements. The research work will be continued on a larger scale in the frame of an european project -ANNIE: Artificial Neural Networks for Integrated Ergonomics. The objective of the work was to implement a neural network based methodology for simulating human movements in order to check and ensure ergonomical properties in different environments like work cells, car and spacecraft interiors etc. If most of the studies are concerned with robot like movements, only a few have dealt with human movements. The neural networks potentiality is proved in this case, too: feed-forward nets are employed and the resilient propagation is used as training algorithm.
