JOURNAL BROWSE
Search
Advanced SearchSearch Tips
An Estimation Method of Representative Humanoids for Digital Human Simulation
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
An Estimation Method of Representative Humanoids for Digital Human Simulation
Jung, Kihyo;
  PDF(new window)
 Abstract
Objective: The present study developed an estimation method of boundary zone representative humanoids(hereafter, EBZ method) using descriptive statistics on the design target population. Background: The boundary zone method(hereafter, BZ method) generates representative humanoids at a boundary zone that statistically accommodates a designated percent of the design target population; however, the BZ method has a practical limitation because it requires a large scale anthropometric database on the design target population. Method: The EBZ method developed in the present study consisted of 3 steps. In the first step, the boundary zone of accommodating a designated percent(e.g., 90%) is formed under the assumption of normal distributions for anthropometric sizes. In the second step, cases that fall within the boundary zone are estimated using descriptive statistics(mean, standard deviation, and covariance) on the design target population. In the last step, K-mean cluster analysis is conducted for the cases, and representative humanoids are selected from each of clusters. Results: Evaluation results showed that mean accommodation percent of the EBZ method was 90.9%(range: 90.8~91.1%) which is similar to the target percent(90%). In addition, standard deviation of accommodation percent for 100 repetitions was 0.1%. Lastly, the number of representative humanoids generated by the EBZ method(n = 20) was similar to the BZ method(n = 16). Conclusion: The EBZ method can generate representative humanoids which accommodate a designated percent of the design target population using descriptive statistics. Application: The EBZ method can be utilized in the generation of humanoids for ergonomic design and evaluation of products when the large scale anthropometric database on the design target population is not existed.
 Keywords
Representative humanoid;Digital human simulation;Estimated boundary zone method;Multivariate accommodation;
 Language
Korean
 Cited by
 References
1.
Bittner, A.C., Glenn, F.A., Harris, R.M., Iavecchia, H.P. and Wherry, R.J. Cadre: A family of manikins for workstation design. In S.S. Asfour (Ed.) Trends in Ergonomics/Human Factors IV (pp. 733-740). North Holland: Elsevier Science Publishers, 1987.

2.
Bittner, A.C. A-CADRE: Advanced family of manikins for workstation design. Proceedings of the IEA 2000/HFES 2000 Congress, 6, 774-777, 2000.

3.
Blome, M., Hanson, L., Lamkull, D., Nielsen, E. and Stam, E., Identifying time-consuming human modeling tool activities. SAE Technical Paper Series (2006-01-2312), 2006.

4.
Chaffin, D.B., Digital Human Modeling for Vehicle and Workplace Design. Pennsylvania, USA: SAE, 2001.

5.
Fernandez, J.E. and Uppungouri, K.G., Anthropometry of south Indian industrial workmen. Ergonomics, 35, 1393-1398, 1992. crossref(new window)

6.
Gordon, C.C., Bradtmiller, B., Churchill, T., Clauser, C., McConville, J., Tebbetts, I. and Walker, R., 1988 anthropometric survey of U.S. Army personnel [Data file]. Retrieved from http://www.ntis.gov, 1988.

7.
HFES 300 Committee. Guidelines for Using Anthropometric Data in Product Design. Santa Monica, CA: Human Factors and Ergonomics Society, 2004.

8.
Jimmerson, D.G., 2001. Digital human modeling for improved product and process feasibility studies. In: Chaffin, D.B. (Ed.), Digital Human Modeling for Vehicle and Workplace Design (pp. 127-135). SAE International, Warrendale, PA, 2001.

9.
Johnson, R.A. and Wichern, D.W., Applied Multivariate Statistical Analysis. New Jersey: Prentice Hall, 1988.

10.
Jung, K., Kwon, O. and You, H., Development of the boundary zone method for generation of representative human models. Proceedings of the Human Factors and Ergonomics Society 53rd Annual Meeting. Santa Monica, CA: The Human Factors and Ergonomics Society, 2009a.

11.
Jung, K., Kwon, O. and You, H., Development of a digital human model generation method for ergonomic design in virtual environment. International Journal of Industrial Ergonomics, 39, 744-748, 2009b. crossref(new window)

12.
Kim, J. and Whang, M., Development of a set of Korean manikins. Applied Ergonomics, 28, 407-410, 1997. crossref(new window)

13.
Lattin, J.M., Carroll, J.D. and Green, P.E., Analyzing Multivariate Data. Pacific Grove, CA: Thomson Brooks/Cole, 2003.

14.
Meindl, R.S., Hudson, J.A. and Zehner, G.F., A Multivariate Anthropometric Method for Crew Station Design (AL-TR-1993-0054). Wright- Patterson Air Force Base, OH: Armstrong Laboratory, Air Force Material Command, 1993.

15.
Meunier, P., Effects of a data reduction technique on anthropometric accommodation. Proceedings of the 42nd Human Factors and Ergonomics Society, 727-731, 1998.

16.
Moshtagh, N. (2006). Minimum volume enclosing ellipsoid. Retrieved from http://www.mathworks.co.kr/matlabcentral/fileexchange/9542- minimum-volume-enclosing-ellipsoid.

17.
Nelson, C., Anthropometric analyses of crew interfaces and component accessibility for the international space station. In: Chaffin, D.B. (Ed.), Digital Human Modeling for Vehicle and Workplace Design (pp. 17-36). SAE International,Warrendale, PA, 2001

18.
Porter, J.M., Case, K., Marshall, R., Gyi, D. and Oliver, R.S., Beyond Jack and Jill: designing for individuals using HADRIAN. International Journal of Industrial Ergonomics, 33, 249-264, 2004. crossref(new window)

19.
Roebuck, J.A., Kroemer, K.H.E. and Thomson, W.G., Engineering Anthropometry Methods. New York: Wiley-Interscience, 1975.

20.
Ryu, T., Jung, I., You, H. and Kim, K., Development and application of a generation method of human models for ergonomic product design in virtual environment. Proceedings of the Human Factors and Ergonomics Society, 951-955, 2004.

21.
Schoor, H.V. and Konz, S., Males/females: An anthropometric comparison for modeling missing data. International Journal of Industrial Ergonomics, 437-440, 1996.

22.
Thompson, D.D., The determination of the human factors/occupant packaging requirements for adjustable pedal systems. In: Chaffin, D.B. (Ed.), Digital Human Modeling for Vehicle and Workplace Design (pp. 101-111). SAE International, Warrendale, PA, 2001.

23.
UGS., Jack User Manual (Ver. 5.1). Unigraphics Corp, 2006.

24.
Vasu, M. and Mital, A., Evaluation of the validity of anthropometric design assumptions. International Journal of Industrial Ergonomics, 26, 19-37, 2000. crossref(new window)