Print Email Facebook Twitter Multi-dimensional digital human models for ergonomic analysis based on natural data representations Title Multi-dimensional digital human models for ergonomic analysis based on natural data representations Author Moes, C.C.M. Faculty Industrial Design Engineering Department Design Engineering Date 2015-01-01 Abstract Digital human models are often used for ergonomic analysis of product designs, before physical prototypes are available. However, existing digital human models cannot be used to simultaneously: 1) consider the tissue loads and the physiological effects of the tissue loads; 2) optimise the product properties. This paper develops multi-dimensional digital human models for ergonomic analysis based on natural data representations, which include anatomy, morphology, behaviour, physiology, tissue, and posture data representations. The results show that the multi-dimensional digital human models can be used to: 1) accelerate the design process; 2) assess mechanical and physiological loads inside the body and in the contact area between the body and the product; 3) optimise the quality of the product; 4) reduce the number of user trials needed to create the product. Subject human modellingergonomicsproduct designdesign process To reference this document use: http://resolver.tudelft.nl/uuid:bfdb2f67-fb3f-4e52-b557-031aba1401be Publisher Inderscience ISSN 2046-3375 Source https://doi.org/10.1504/IJDH.2015.067136 Source International Journal of the Digital Human, 1 (1), 2015 Part of collection Institutional Repository Document type journal article Rights (c) 2015 Inderscience Files PDF 320788.pdf 190 KB Close viewer /islandora/object/uuid:bfdb2f67-fb3f-4e52-b557-031aba1401be/datastream/OBJ/view