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Modelling gestural know-how in pottery based on state-space estimation and system dynamic simulation

Abstract : This paper presents a methodology for modelling expert gestural performances in wheel-throwing pottery. The approach is based on building an operational model that describes how expert gestures are performed, taking also into consideration relationships between different parts of the body. This model is estimated using state-space estimation methodology and its predictive performance is evaluated using system dynamic simulation.
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Article dans une revue
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https://hal-mines-paristech.archives-ouvertes.fr/hal-01508612
Contributeur : Sotiris Manitsaris Connectez-vous pour contacter le contributeur
Soumis le : vendredi 14 avril 2017 - 12:56:36
Dernière modification le : samedi 22 octobre 2022 - 05:19:59

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  • HAL Id : hal-01508612, version 1

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Sotiris Manitsaris, Alina Glushkova, Christina Volioti. Modelling gestural know-how in pottery based on state-space estimation and system dynamic simulation. Procedia Manufacturing, 2015. ⟨hal-01508612⟩

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