Remember Me
Or use your Academic/Social account:


Or use your Academic/Social account:


You have just completed your registration at OpenAire.

Before you can login to the site, you will need to activate your account. An e-mail will be sent to you with the proper instructions.


Please note that this site is currently undergoing Beta testing.
Any new content you create is not guaranteed to be present to the final version of the site upon release.

Thank you for your patience,
OpenAire Dev Team.

Close This Message


Verify Password:
Verify E-mail:
*All Fields Are Required.
Please Verify You Are Human:
fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Vaughan, Neil; Dubey, Venketesh N.; Wee, M.Y.; Isaacs, R. (2014)
Languages: English
Types: Article
This work is to build upon the concept of matching a person's weight, height and age to their overall body shape to create an adjustable three-dimensional model. A versatile and accurate predictor of body size and shape and ligament thickness is required to improve simulation for medical procedures. A model which is adjustable for any size, shape, body mass, age or height would provide ability to simulate procedures on patients of various body compositions.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • [4] K.N. Elks and R. H. Riley, The Mediseus epidural simulator - does it replicate real patients?, Anaesth Intensive Care 35(5) (2007), 818.
    • [5] K. Nakamura and T. Kurokawa, An Isomorphic Polygon Model for Describing Human Body Shape, The 6th International Conference on Information Technology and Applications (ICITA), 2009.
    • [6] P.L. Cornelissen, M.J. Tovee and M. Bateson, Patterns of subcutaneous fat deposition and the relationship between body mass index and waist-to-hip ratio: Implications for models of physical attractiveness, Journal of Theoretical Biology 256 (2009), 343-350.
    • [7] J. Li, J. Ye, Y. Wang, L. Bai and G. Lu, Fitting 3D garment models onto individual human models, Computers & Graphics-UK 34(6) (2010), 742-55.
    • [8] R. Hume, and E. Weyers, Relationship between total body water and surface area in normal and obese subjects. J Clin Pathol 24 (1971), 234-238.
    • [9] L.S. Piers, M.J. Soares, S.L Frandsen and K. O'Dea, Indirect estimates of body composition are useful for groups but unreliable in individuals, Int J Obes Relat Metab Disord 24(9) (2000), 1145-1152.
    • [10] P.E. Watson, I.D. Watson and R.D. Batt, Total body volumes for adult males and females estimated from simple anthropometric measurements, Am J Clin Nutr 33(1980), 27-39.
    • [11] A.R Behnke, Anthropometric Evaluation of Body Composition Throughout Life, Annals of new York academy of sciences 110(2) (1963), 450-464.
    • [12] A. Sergovich, M. Johnson and T. Wilson, Explorable Three-Dimensional Digital Model of the Female Pelvis, Pelvic Contents, and Perineum for Anatomical Education, Anatomical Sciences Education 3(3) (2010), 127-133.
    • [13] L.J. Brandon and L. Proctor, Comparison of BMI obesity classification in men and women, Int J Fitness 4(2) (2008), 1-8.
    • [14] D. Martarelli, B. Martarelli and P. Pompei, Body composition obtained from the body mass index: An Italian study, Eur J Nutr 47 (2008), 409-416.
    • [15] G.M. Chertow, E.G. Lowrie, N.L. Lew and J.M. Lazarus, Development of a populationspecific regression equation to estimate total body water in hemodialysis patients, Kid Int 51(1997), 1578-1582.
    • [16] S.B. Heymsfield and A. Martin-Nguyen, Body circumferences: clinical implications emerging from a new geometric model, Nutrition & Metabolism 5 (2008), 24.
    • [17] J.E. Brown and E.S.B. Kahn, Maternal nutrition and the outcome of pregnancy: a renaissance in research, Clinics in Perinatology 24(2) (1997), 433-449.
    • [18] E.P. Gunderson, B. Abrams and S. Selvin, Does the pattern of postpartum weight change differ according to pregravid body size?, International Journal of Obesity 25 (2001), 853- 862.
    • [19] N. Vaughan, V.N. Dubey, M.Y.K. Wee and R. Isaacs, Haptic Interface on Measured Data for Epidural Simulation, Proceedings of the ASME Computers and Information in Engineering Conference (IDETC) (2012), 13-17.
    • [20] E. Zarzur, Anatomic Studies of the Human Lumbar Ligamentum Flavum, Anesth Analg 499(6)3 (1984), 499-502.
    • [21] J. Abbas, K. Hamoud, Y.M. Masharawi, H. May, O. Hay, B. Medlej, et al., Ligamentum flavum thickness in normal and stenotic lumbar spines, Spine 35(12) (2010), 1225-1230
    • [22] T. Sakamaki, K. Sairyo, T. Sakai, T. Tamura, Y. Okada and H. Mikami, Measurements of ligamentum flavum thickening at lumbar spine using MRI, Archives of orthopaedic and trauma surgery 129(10) (2009), 1415-1419.
    • [23] G. Ayvaz and A.R. Çime, Methods for Body Composition Analysis in Adults, The Open Obesity Journal 3 (2011), 62-69.
    • [24] J. Wang, J.C. Thornton, S. Kolesnik and R.N. Pierson Jr, Anthropometry in body composition. An overview, Ann N Y Acad Sci 904 (2000), 317-326.
    • [25] G.A. Bray, K.A. Jablonski, W.Y. Fujimoto, E. Barrett-connor, S. Haffner, R.L. Hanson, et al., Relation of central adiposity and body mass index to the development of diabetes in the Diabetes Prevention Program, Am J Clin Nutr 87 (2008), 1212-1218
    • [26] Centers for Disease Control and Prevention (CDC). National Center for Health Statistics (NCHS). National Health and Nutrition Examination Survey Data. Hyattsville, MD: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, 2012 http://www.cdc.gov/nchs/nhanes/nhanes_questionnaires.htm.
    • [27] T. Nagaoka, S. Watanabe, K. Sakurai, E. Kunieda, S. Watanabe, M. Taki, et al., Development of realistic high-resolution whole-body voxel models of Japanese adult males and females of average height and weight, and application of models to radiofrequency electromagnetic-field dosimetry, Phys. Med. Biol. 49(1) (2004), 1.
    • [28] C.L. Ogden, C.D. Fryar, M.D. Carroll and K.M. Flegal, Mean Body Weight, Height and Body Mass Index, United States 1960-2002, Advance Data From Vital and Health Statistics 347 (2004), 1-17.
    • [29] N. Vaughan, V.N. Dubey, M.Y.K. Wee, R. Isaacs, Towards a realistic in-vitro experience of Epidural Tuohy Needle Insertion, Journal of Engineering in Medicine 227(7) (2013), 767-777.
    • [30] S. Hyewon, and N.M. Thalmann, An automatic modeling of human bodies from sizing parameters, Proceedings of the 2003 symposium on Interactive 3D graphics. ACM, 2003.
    • [31] C.C. Wang, Parameterization and parametric design of mannequins, Computer-Aided Design, 37(1) (2005), 83-98.
    • [32] B. Seung-Yeob, and K. Lee, Parametric human body shape modeling framework for human-centered product design, Computer-Aided Design, 44(1) (2012), 56-67.
    • [33] C. Rupprecht, O. Pauly, C. Theobalt and S. Ilic, 3D Semantic Parameterization for Human Shape Modeling: Application to 3D Animation. IEEE International Conference on 3DTV (2013), 255-262.
    • [34] S. Wuhrer and C. Shu, Estimating 3D Human Shapes From Measurements, Machine Vision and Applications, 24(6) (2013),1133-1147.
  • No related research data.
  • No similar publications.

Share - Bookmark

Cite this article