Abstract

Realistic simulation of the human behaviour plays a primary role in modern industrial ergonomics. The approaches commonly used in movement modelling, are based on traditional bioinspired strategies, that do not involve the intrinsic variability, due to subjective perception of the contextual quantities. For these purposes, a data driven approach based on a collection of physical experiment, capable of grasping the natural essence of the human movements, has been developed and it is herewith presented Motion analysers, artificial neural networks and open CAD environments have been involved to produce a toolset to perform virtual experiment through the human motion simulation, fully integrated with a methodology Results carried out investigating specific industrial scenarios are also presented.

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