A New Hybrid Methodology for Motion Emulation in Virtual Environments
نویسندگان
چکیده
Simulation of natural human movement has proven to be a challenging problem, difficult to be solved by more or less traditional bio-inspired strategies. To simulate human-like movements in a virtual environment a sample database of real movements has been first transformed into sequences of instantaneous states of an explicit biomechanical model. These are then associated to an anthropometrical class of reference in order to be interfaced with an artificial neural network, resulting in a new hybrid approach for data aggregation. Experimental tests have been performed on the upper part of the human body, in particular on the movements of arms and head with respect to the trunk. The analysis has been focused on three different tasks, chosen in assembly line, car interior and manufacturing environment.
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