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Multivariate Accommodation Models using Traditional and 3D Anthropometry
Technical Paper
2005-01-2735
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
Various statistical approaches have been advocated that aim at creating statistically meaningful and representative models of human variation. While they all have in common the idea to summarize the critical space needed by the user population by a discrete number of cases, substantial differences exist as to how exactly these cases are identified. The choice of statistical procedures also impacts the number of representative cases (i.e. the efficiency of the model) as well as the actual percentage of the accommodated population (accuracy of the model). The purpose of the paper is to test strengths and fallacies of some of the more commonly found approaches using real as well as simulated data. Furthermore, an extension of multivariate accommodation models to 3D coordinate data, which can be used in CAD/CAM environments, are presented.
The results suggest that while overall accommodation percentages tend to improve when the number of variables and representative cases increases, various other factors can be identified that can significantly reduce or even invalidate the model accuracy. Consequently, simplistic approaches based on multiplying variables/cases do not necessarily guarantee pertinent models. Rather, optimization strategies must be sought to reconcile model efficiency and accuracy.
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Citation
Friess, M., "Multivariate Accommodation Models using Traditional and 3D Anthropometry," SAE Technical Paper 2005-01-2735, 2005, https://doi.org/10.4271/2005-01-2735.Also In
SAE 2005 Transactions Journal of Passenger Cars: Electronic and Electrical Systems
Number: V114-7; Published: 2006-02-01
Number: V114-7; Published: 2006-02-01
References
- Bittner AC Glenn FA Harris RM Iacchevia HP Wherry RJ 1987 CADRE: A Family of Manikins for Workstation Design Asfour SS Trends in Ergonomics/Human Factors IV Elsevier
- Bookstein FL 1991 Morphometric tools for Landmark Data Cambridge University Press
- Flannagan CAC Manary MA Schneider LW Reed MP 1998 An Improved Seating Accommodation Model with Application to Different User Populations Human Factors in Driving, Vehicle Seating, and Rear Vision. SAE SP 1358
- Friess M Bradtmiller B 2003 3D Head Models for Protective Helmet Development. Proceedings of the SAE 2003 Digital Human Modeling Symposium Montreal, CA June 16–19 2003
- Gordon CC 2002 Multivariate Anthropometric Models For Seated Workstation Design McCabe PT Contemporary Ergonomics 582 589 Taylor & Francis
- Kim K Kim H Lee J Lee E Kim D 2004 Development of a New 3D Test Panel for Half-Mask Respirators by 3D Shape Analysis for Korean Faces J. Int. Soc. Resp. Protection 21 125 134
- Manary MA Flannagan CAC Reed MP Schneider LW 1998 Development of an Improved Driver Eye Position Model. Human Factors in Driving, Vehicle Seating, and Rear Vision SAE SP 1358
- Meindl RS Hudson JA Zehner GF 1993 A Multivariate Anthropometric Method for Crew Station design AFMC, Wright-Patterson Air Force Base Ohio 45433
- Moroney WF Smith MJ 1972 Empirical Reduction in Potential User Population as the Result of Imposed Multivariate Anthropometric Limits Naval Aerospace Medical Research Laboratory Pensacola, FL
- Robinette KM McConville JT 1981 An Alternative to Percentile Models SAE Technical Paper # 810217 SAE Inc.
- Whitestone JJ Robinette KM 1996 Fitting to Maximize Performance of HMD Systems