The vast majority of products and processes in industry and academia require human interaction. Thus, digital human models (DHMs) are becoming critical for improved designs, injury prevention, and a better understanding of human behavior. Although many capabilities in the DHM field continue to mature, there are still many opportunities for improvement, especially with respect to posture- and motion-prediction. Thus, this work investigates the use of artificial neural network (ANN) for improving predictive capabilities and for better understanding how and why human behave the way they do.
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The vast majority of products and processes in industry and academia require human interaction. Thus, digital human models (DHMs) are becoming critical for improved designs, injury prevention, and a better understanding of human behavior. Although many capabilities in the DHM field continue to mature, there are still many opportunities for improvement, especially with respect to posture- and motion-prediction. Thus, this work investigates the use of artificial neural network (ANN) for improving predictive capabilities and for better understanding how and why human behave the way they do. N° de réf. du vendeur 9783845440026
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Bataineh MohammadMohammad Bataineh is a graduate researcher in the Biomedical Engineering department at The University of Iowa and works in virtual soldier research (VSR) with Dr. Marler. His research studies focus on studying human . N° de réf. du vendeur 5482729
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Taschenbuch. Etat : Neu. Artificial neural network for studying human performance | Mohammad Bataineh | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783845440026 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 105564864
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