Title :
A recurrent network for data driven human movement generation
Author :
Ciungradi, Bogdan ; Costa, Mario ; Pasero, Eros ; Macchiarulo, Luca
Author_Institution :
Lab. Neuronica, Politecnico di Torino, Italy
Abstract :
The problem of simulation and modelling of natural human movement is a basic topic in ergonomics applications. Generalization capabilities of artificial neural networks can be profitably pursued in this field. The use of real collected data for training may help in simulating human movement for CAD applications. Furthermore, it also permits us to embed features of the real movements which could be hardly taken into account with a priori modelling. We show an application of this point of view, consisting in recurrent networks trained to perform arm movements based on actual human data
Keywords :
CAD; biomechanics; ergonomics; generalisation (artificial intelligence); learning (artificial intelligence); recurrent neural nets; data driven human movement generation; ergonomics; generalization capabilities; natural human movement; recurrent network; training; Artificial neural networks; Computational intelligence; Computational modeling; Ergonomics; Humans; Laboratories; Neural networks; Performance evaluation; Training data; Very large scale integration;
Conference_Titel :
Neural Networks Proceedings, 1998. IEEE World Congress on Computational Intelligence. The 1998 IEEE International Joint Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-4859-1
DOI :
10.1109/IJCNN.1998.682265
