A Method to Use Kriging With Large Sets of Control Points to Morph Finite Element Models of the Human Body

2020 ◽  
Vol 143 (2) ◽  
Author(s):  
Tomáš Janák ◽  
Yoann Lafon ◽  
Philippe Petit ◽  
Philippe Beillas
Keyword(s):  
Body Mass Index ◽  
Finite Element ◽  
Body Mass ◽  
Human Body ◽  
Surface Model ◽  
Control Points ◽  
Large Sets ◽  
Spatial Subdivision ◽  
Male Model ◽  
Human Body Models

Abstract As developing finite element (FE) human body models for automotive impact is a time-consuming process, morphing using interpolation methods such as kriging has often been used to rapidly generate models of different shapes and sizes. Kriging can be computationally expensive when many control points (CPs) are used, i.e., for very detailed target geometry (e.g., shape of bones and skin). It can also lead to element quality issues (up to inverted elements) preventing the use of the morphed models for finite element simulation. This paper presents a workflow combining iterative subsampling and spatial subdivision methodology that effectively reduces the computational costs and allows for the generation of usable models through kriging with hundreds of thousands of control points. As subdivision introduces discontinuities in the interpolation function that can cause distortion of elements on the boundaries of individual subdivision areas, algorithms for smoothing the interpolation over those boundaries are proposed and compared. Those techniques and their combinations were tested and evaluated in a scenario of mass change on the detailed 50th percentile male model of the global human body models consortium (GHBMC): the model, which has body mass index (BMI) 25.34, was morphed toward a statistical surface model of a person with body mass index 20, 22.7 and 35. 234 777 control points were used to successfully morph the model in less than 15 min on an office PC. Open source implementation is provided.

The Human Body in Britain: Past and Future

2006 ◽  
Author(s):  
Roderick Floud
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Human Body ◽  
Standard Of Living ◽  
Anthropometric Measures ◽  
The Past ◽  
Shed Light ◽  
Material Welfare

This chapter explores evidence on the changing shape of the British human body, in particular its height and weight, in order to shed light on the past and possibly future standard of living of the British population. It focuses on anthropometric measures (based on height, weight, and body mass index) that are employed as indicators of material welfare of the population.

Product Ergonomics Design Driven by Parametric Human Body Model

2011 ◽  
Vol 215 ◽  
pp. 136-143 ◽  
Author(s):  
B. Jiang ◽  
Chun Fu Lu ◽  
Xiao Jian Liu
Keyword(s):  
Human Body ◽  
Design Method ◽  
Structure Design ◽  
Design Parameters ◽  
Surface Model ◽  
Structure Model ◽  
Human Body Model ◽  
Body Model ◽  
Driving Model ◽  
Human Body Models

Considering the demands for product ergonomics design, the paper proposed a driven design method for product’s shape and structure design through the manipulation of human body models. Based on the anthropometry data, a parametric human body driving model system is established with three layers, which are structure model, dimension model and surface model. The driven design method of product ergonomics design is realized, in which human body data are directly mapped to product design parameters. The driven design method provides a rational way to utilize ergonomics design principles and guarantee higher efficiency and more reliability. The method is tested in seat design examples.

Human Body-mass Index (Weight in kg/stature in m2) as a Useful Proxy to Assess the Relation between Income and Wildlife Consumption in Poor Rural Societies

2006 ◽  
Vol 15 (14) ◽  
pp. 4495-4506 ◽  
Author(s):  
Ricardo Godoy ◽  
David S. Wilkie ◽  
Victoria Reyes-García ◽  
William R. Leonard ◽  
Tomás Huanca ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Human Body ◽  
Index Weight

scholarly journals The Controversy over Anti-Helicobacter pylori Therapy

2012 ◽  
Vol 61 (4) ◽  
pp. 239-246 ◽  
Author(s):  
KATARZYNA M. BOCIAN ◽  
ELŻBIETA K. JAGUSZTYN-KRYNICKA
Keyword(s):  
Body Mass Index ◽  
Helicobacter Pylori ◽  
Body Mass ◽  
Human Body ◽  
Allergic Diseases ◽  
Gastric Epithelium ◽  
Modern World ◽  
Western World ◽  
Inverse Association ◽  
H Pylori

Helicobacter pylori is a Gram-negative spiral-shaped bacterium, member of epsilon-Proteobacteria specifically colonizing the gastric epithelium of humans. It causes one of the most common infections worldwide, affecting about half of the world's population. However, it should be noted that the prevalence of H. pylori, particularly in the Western world, has significantly decreased coinciding with an increase of some autoimmune and allergic diseases, such as asthma. Various epidemiological studies have also documented a negative association between H. pylori colonization and the presence of GERD (gastroesophageal reflux disease) and risk of esophageal cancer. Additionally, an upward trend of obesity recently observed in inhabitants of developed countries raised a question about the relationship between H. pylori infection and the human body mass index. The first part of this review describes common, recommended anti-H. pylori treatments. The second part, presents the results of recent experiments aimed at evaluating the association between H. pylori infections and gastro-esophageal diseases, the level of stomach hormones, the human body mass index and allergic diseases. Although some studies suggest an inverse association of H. pylori infection with some health problems of the modern world such as asthma, obesity or GERD, H. pylori should be considered as a harmful human pathogen responsible for serious and sometimes lethal diseases. Thus, many scientists advocate the eradication of H. pylori.

scholarly journals A high throughput, functional screen of human Body Mass Index GWAS loci using tissue-specific RNAi Drosophila melanogaster crosses

PLoS Genetics ◽  
2018 ◽  
Vol 14 (4) ◽  
pp. e1007222 ◽  
Author(s):  
Thomas J. Baranski ◽  
Aldi T. Kraja ◽  
Jill L. Fink ◽  
Mary Feitosa ◽  
Petra A. Lenzini ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Drosophila Melanogaster ◽  
Body Mass ◽  
High Throughput ◽  
Human Body ◽  
Tissue Specific ◽  
Functional Screen

scholarly journals Scaling of human body composition to stature: new insights into body mass index

2007 ◽  
Vol 86 (1) ◽  
pp. 82-91 ◽  
Author(s):  
Steven B Heymsfield ◽  
Dympna Gallagher ◽  
Laurel Mayer ◽  
Joel Beetsch ◽  
Angelo Pietrobelli
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Body Mass ◽  
Human Body ◽  
Human Body Composition

Evaluation of finite element human body models in lateral padded pendulum impacts to the shoulder

2010 ◽  
Vol 15 (2) ◽  
pp. 125-142 ◽  
Author(s):  
Daniel Lanner ◽  
Peter Halldin ◽  
Johan Iraeus ◽  
Kristian Holmqvist ◽  
Krystoffer Mroz ◽  
...  
Keyword(s):  
Finite Element ◽  
Human Body ◽  
Human Body Models

Pelvic Injury Survival Analysis for a Finite Element Human Body Model Using Multiple Data Sets

2018 ◽  
Author(s):  
Caitlin M. Weaver ◽  
Anna N. Miller ◽  
Joel D. Stitzel
Keyword(s):  
Finite Element ◽  
Pelvic Fracture ◽  
Human Body ◽  
Roc Curve ◽  
Predictive Power ◽  
Curve Analysis ◽  
Roc Curve Analysis ◽  
Cross Sectional ◽  
Multiple Data Sets ◽  
Human Body Models

Finite element (FE) computational human body models (HBMs) have gained popularity over the past several decades as human surrogates for use in blunt injury research. FE HBMs are critical for the analysis of local injury mechanisms. These metrics are challenging to measure experimentally and demonstrate an important advantage of HBMs. The objective of this study is to evaluate the injury risk predictive power of localized metrics to predict the risk of pelvic fracture in a FE HBM. The Global Human Body Models Consortium (GHBMC) 50th percentile detailed male model (v4.3) was used for this study. Cross-sectional and cortical bone surface instrumentation was implemented in the GHBMC pelvis. Lateral impact FE simulations were performed using input data from tests performed on post mortem human subjects (PMHS). Predictive power of the FE force and strain outputs on localized fracture risk was evaluated using the receiver operator characteristic (ROC) curve analysis. The ROC curve analysis showed moderate predictive power for the superior pubic ramus and sacrum. Additionally, cross-sectional force was compared to a range of percentile outputs of maximum principal, minimum principal, and effective cortical element strains. From this analysis it was determined that cross-sectional force was the best predictor of localized pelvic fracture.

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