Artificial neural networks and the simulation of human movements in CAD environments

Autor:	A. Hanomolo, M. Costa, Eros Pasero, P. Crispino
Rok vydání:	2002
Předmět:	Robot kinematics Intelligent Network Artificial neural network Mathematical model Cad tools business.industry Computer science Neural system Electronic design automation CAD Artificial intelligence business
Zdroj:	ICNN
DOI:	10.1109/icnn.1997.614166
Popis:	A powerful goal for 3D CAD tools is today the simulation of working environments to find the ergonomic parameters which relate people to objects in the space. Mathematical models of human movements are complex to define and hard to solve. Artificial neural systems (ANS) could be an interesting approach to the problem: why not to use artificial neurons to simulate actual neurons? This work deals with a first approach to a major project. We used ANS to simulate the movement of a human arm in a CAD environment.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::4acbaabcd682b63c9ee355a5f3c0238d https://doi.org/10.1109/icnn.1997.614166 Zobrazit plný text záznamu