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Impact of Male Body Posture and Shape on Design and Garment Fit

Treść / Zawartość
Identyfikatory
Warianty tytułu
PL
Wpływ postawy ciała mężczyzny i jego kształtu na projektowanie i dopasowanie ubioru
Języki publikacji
EN
Abstrakty
EN
This paper presents a study of the impact of body posture and the presence of functional and structural body changes on garment fit. 3D scanning on a sample of 50 male test subjects was performed. Body posture indicators were determined on 3D body models and a statistical analysis of the results obtained was performed. Test subjects from the sample were divided into three groups according to body posture types. Three body models with different body dimensions and different physiological spine curvature were selected and imported into a 2D/3D CAD system for computer-based garment simulation. 3D simulation of a men’s jacket in the closest garment size was performed on selected body models. Garment fit was analysed on every simulated model and based on the analysis performed, garment pattern elements and measurements where it is necessary to enable modifications were determined. The most complex part of the research refers to the development of a parametric computer-based garment model which will be able to adjust according to anthropometric body measurements and body shapes with a different physiological spine curvature. Relationships between targeted body measurements and their impact on modifications of pattern segments were investigated as a starting point for defining mathematical expressions according to which values of measurement changes on the garment pattern will be calculated. A parametric garment model pattern which enables adjustments according to different body sizes and body postures types was developed. Verification of the method developed was performed using computer-based 3D simulations on 3D body models with prominent problems of body posture.
PL
W pracy zaprezentowano badania wpływu postawy ciała i występowania funkcjonalnych i strukturalnych zmian ciała na dopasowanie ubioru. Przeprowadzano skanowanie 3D próby składającej się z 50 męskich osobników. Określono indykatory postawy na modelach 3D i przeprowadzono statystyczną analizę. Uzyskane wyniki podzielono na trzy grupy biorąc pod uwagę typy postawy ciała. Uzyskano modele o różnych wymiarach i różnych fizjologicznych krzywiznach kręgosłupa i wprowadzono je w system 2D/3D CAD dla przeprowadzenia komputerowej symulacji ubrań. Przeprowadzono symulację 3D męskiej marynarki. Analizowano dopasowanie ubioru na każdym z symulowanych modeli i na tej podstawie określono elementy wzoru i wymiary. Określono również miejsca, które należy poddać modyfikacji. Najbardziej złożona część badań dotyczyła opracowania parametrycznego modelu ubioru, który umożliwiałby dostosowanie odpowiednie do antropometrycznych wymiarów ciała i różnych fizjologicznych krzywizn kręgosłupa. Opracowano parametryczny model ubioru, który umożliwia dostosowanie do różnych kształtów ciała i typów postawy. Weryfikacja opracowanej metody została przeprowadzona przy zastosowaniu symulacji komputerowej 3D.
Rocznik
Strony
150--158
Opis fizyczny
Bibliogr. 26 poz., rys., tab.
Twórcy
autor
  • Department of Clothing Technology, Faculty of Textile Technology, University of Zagreb, Zagreb, Croatia
autor
  • Department of Clothing Technology, Faculty of Textile Technology, University of Zagreb, Zagreb, Croatia
autor
  • Department of Clothing Technology, Faculty of Textile Technology, University of Zagreb, Zagreb, Croatia
Bibliografia
  • 1. Dunk NM, Lalonde J, Callaghan JP. Implications for the use of postural analysis as a clinical diagnostic tool: reliability of quantifying upright standing spinal postures from photographic images. Journal of Manipulative and Physiological Therapeutics (JMPT) 2005; 28(6): 386-92.
  • 2. Palmer LM, Epler EM. Fudamentals of Musculoskeletal Assessment Techniques. Ed. Lippincott Williams & Wilkins, ISBN: 0781710073, 1998.
  • 3. Watson AWS, Mac Donncha C. A reliable method for the assessment of posture. Journal of Sports Medicine and Physical Fitness 2000; 40(3): 260–270.
  • 4. Fedorak C, Ashworth N, Marshall J, Paull H. Reliability of the visual assessment of cervical and lumbar lordosis: how good are we? Spine 2003; 28(16): 1857-9.
  • 5. Paušić J. Konstrukcija i vrednovanje mjernih postupaka za procjenu tjelesnog držanja u dječaka dobi od 10 do 13 godina. Doctoral Dissertation, University of Zagreb, Faculty of Kinesiology, 2007.
  • 6. Hawes MC, O’Brien JP. The transformation of spinal curvature into spinal deformity: pathological processes and implications for treatment. Scoliosis 2006; 1(3); DOI:10.1186/1748-7161-1-3.
  • 7. Werner D. Disabled Village Children. The Hesperian Foundation 2009; 4. 8. Stosic D, Milenkovic S, Zivkovic D. The influence of sport on the development of postural disorders in athletes. Facta Universitatis: Physical education and sport (Special issue) 2011; 9(4): 375-384.
  • 9. Treleaven P, Wells JCK. 3D Body Scanning and Healthcare Applications. Computer 2007; 40(7): 28-34; DOI:10.1109/MC.2007.225.
  • 10. Lima LC de O, et al. Postural alterations in children with mouth breathing assessed by computerized biophotogrammetry. Journal of Applied Oral Science 2004; 12(3): 232-7.
  • 11. McEvoy MP, Grimmer K. Reliability of upright posture measurements in primary school children. BMC Musculoskeletal Disorders 2005; 6: 35.
  • 12. Dunk NM, Lalonde J, Callaghan JP. Implications for the use of postural analysis as a clinical diagnostic tool: reliability of quantifying upright standing spinal postures from photographic images. J. Manip. Physiol. Ther. 2005; 28: 386-392.
  • 13. Simmons KP, Istook CL. Body measurement techniques: Comparing 3D body-scanning and anthropometric methods for apparel applications. Journal of Fashion Marketing and Management 2003; 7(3): 306 – 332.
  • 14. Zhang X. Anthropometry and Clothing Engineering. In: Proceedings of Textile Bioengineering and Informatics Society Limited (TBIS), Institute of Textiles & Clothing, The Hong Kong Polytechnic University, Hong Kong, China, 2008.
  • 15. Petrak S, Mahnić M, Ujević D. Research of 3D Body Models Computer Adjustment Based on Anthropometric Data Determined by Laser 3D Scanner. In: Proceedings of the 3rd International Conference on 3D Body Scanning Technologies, Hometrica Consulting, Lugano, Switzerland, 2012.
  • 16. Werghi N, Xiao Y. Recognition of human body posture from a cloud of 3D data points using wavelet transform coefficients. In: Fifth IEEE International Conference on Automatic Face and Gesture Recognition (FGR’02), Washington, 2002.
  • 17. Fan J, Yu W, Hunter L. Clothing appearance and fit: Science and technology. Ed. Woodhead Publishing Limited in association with The Textile Institute Woodhead Publishing Limited, 2004.
  • 18. Ashdown SP, Na H. Comparison of 3-D Body Scan Data to Quantify Upper-Body Postural Variation in Older and Younger Women. Clothing and Textiles Research Journal 2008; 26(4): 292-307
  • 19. Gill S. Improving garment fit and function through ease quantification. Journal of Fashion Marketing and Management 2011; 15: 228-241.
  • 20. Meng Y, Mok PY, Jin X. Computer aided clothing pattern design with 3D editing and pattern alteration. Comput. Aided Design 2012; 44: 721-734.
  • 21. Mahnic M, Petrak S. Investigation of the Fit of Computer-based Parametric Garment Prototypes. Journal of Fiber Bioengineering and Informatics 2013; 6(1): 51-61.
  • 22. ISO 20685:2010.
  • 23. ISO 7250:1996.
  • 24. ISO 8559: 1989.
  • 25. Auxter D, Pyfer J, Huettig C. Principal and methods of adapted physical education and recreation. Ed. WCB McGraw-Hill, New York, 1997.
  • 26. Guthrie M. Anatomy 25: Key anatomical terminology. http://fog.ccsf.edu/mguthrie/AnatTerm.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-43775b65-d95a-4c8e-ad21-85f0a34a5ba0
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