Multi-patch B-Spline Statistical Shape Models for CAD-Compatible Digital Human Modeling

2018 ◽  
pp. 179-189
Author(s):  
Toon Huysmans ◽  
Femke Danckaers ◽  
Jochen Vleugels ◽  
Daniël Lacko ◽  
Guido De Bruyne ◽  
...  
Keyword(s):  
Digital Human Modeling ◽  
Statistical Shape Models ◽  
B Spline ◽  
Shape Models ◽  
Human Modeling ◽  
Statistical Shape ◽  
Digital Human

Physio-Treadmill (PhyMill): Ergonomics Evaluation of Posture Impact on Kids with Cerebral Palsy using Digital Human Modeling (DHM) Simulation

2021 ◽  
Author(s):  
Rabiatul Aisyah Ariffin ◽  
Mohd Azrul Hisham Mohd Adib ◽  
Nurul Shahida Mohd Shalahim ◽  
Narimah Daud ◽  
Nur Hazreen Mohd Hasni
Keyword(s):  
Cerebral Palsy ◽  
Digital Human Modeling ◽  
Human Modeling ◽  
Digital Human

A framework for the merging of pre-existing and correspondenceless 3D statistical shape models

2014 ◽  
Vol 18 (7) ◽  
pp. 1044-1058 ◽  
Author(s):  
Marco Pereañez ◽  
Karim Lekadir ◽  
Constantine Butakoff ◽  
Corné Hoogendoorn ◽  
Alejandro F. Frangi
Keyword(s):  
Statistical Shape Models ◽  
Shape Models ◽  
Statistical Shape

Exploring the Design Space Using a Surrogate Model Approach With Digital Human Modeling Simulations

2018 ◽  
Author(s):  
Salman Ahmed ◽  
Mihir Sunil Gawand ◽  
Lukman Irshad ◽  
H. Onan Demirel
Keyword(s):  
Human Factors ◽  
Surrogate Model ◽  
Human Performance ◽  
Design Method ◽  
Human Subjects ◽  
Design Stage ◽  
Digital Human Modeling ◽  
Design Variables ◽  
Human Modeling ◽  
Digital Human

Computational human factors tools are often not fully-integrated during the early phases of product design. Often, conventional ergonomic practices require physical prototypes and human subjects which are costly in terms of finances and time. Ergonomics evaluations executed on physical prototypes has the limitations of increasing the overall rework as more iterations are required to incorporate design changes related to human factors that are found later in the design stage, which affects the overall cost of product development. This paper proposes a design methodology based on Digital Human Modeling (DHM) approach to inform designers about the ergonomics adequacies of products during early stages of design process. This proactive ergonomics approach has the potential to allow designers to identify significant design variables that affect the human performance before full-scale prototypes are built. The design method utilizes a surrogate model that represents human product interaction. Optimizing the surrogate model provides design concepts to optimize human performance. The efficacy of the proposed design method is demonstrated by a cockpit design study.

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