Browse > Article
http://dx.doi.org/10.5143/JESK.2003.22.4.059

Development and application of a hierarchical estimation method for anthropometric variables  

Ryu, Tae-Beom (포항공과대학교 기계산업공학부)
Yu, Hui-Cheon (포항공과대학교 기계산업공학부)
Publication Information
Journal of the Ergonomics Society of Korea / v.22, no.4, 2003 , pp. 59-78 More about this Journal
Abstract
Most regression models of anthropometric variables use stature and/or weight as regressors; however, these 'flat' regression models result in large errors for anthropometric variables having low correlations with the regressors. To develop more accurate regression models for anthropometric variables, this study proposed a method to estimate anthropometric variables in a hierarchical manner based on the relationships among the variables and a process to develop and improve corresponding regression models. By applying the proposed approach, a hierarchical estimation structure was constructed for 59 anthropometric variables selected for the occupant package design of a passenger car and corresponding regression models were developed with the 1988 US Army anthropometric survey data. The hierarchical regression models were compared with the corresponding flat regression models in terms of accuracy. As results, the standard errors of the hierarchical regression models decreased by 28% (4.3mm) on average compared with those of the flat models.
Keywords
anthropometric variables; regression model; hierarchical estimation; estimation accuracy;
Citations & Related Records
연도 인용수 순위
  • Reference
1 한국표준과학연구원. (1997). 산업제품의 표준치 설정을 위한 국민표준체위 조사 보고서. 국립기술품질원.
2 Annis, J. F., & McConville, J. T. (1996). Anthropometry. In A. Bhattacharya & J. D. McGlothlin (Eds.), Occupational ergonomics: Theory and application (pp. 1-46). New York: Dekker.
3 Case, K., Porter, J. M., & Bonney, M. C. (1990). SAMMIE: A man and workplacemodeling system. In W. Karwowski, A. Genaidy, & S.S. Asfour (Eds.), Computeraided ergonomics (pp. 31-56). London: Taylor & Francis.
4 Webb Associates. (1978). Anthropometric Source Book Volume I: Anthropometry for Designers (NASA RP-1024). Yellow Springs, OH: Author. (NTIS No. N79-13711)
5 Anthropology Group of the Material Human Factors Branch, Behavioral Sciences Division, SATD, U.S. Army Natick Research Development and Engineering Center. (1988). 1988 Anthropometric survey U.S. ARMY [Data file]. Available from National Technical Information Service Web site, http://www.ntis.gov
6 Robinette, K., & McConville, J. (1982). An alternative to percentile models. In Society of Automotive Engineers, SAE Transactions (pp. 938-946). Warrendale, PA: Author.
7 Fogliatto, F. S., & Albin, S. L. (2000). Variance of predicted response as an optimization criterion in multiresponse experiments. Quality Engineering, 12(4) 523-533.   DOI   ScienceOn
8 Fortin, C., Gilbert, R., Beuter, A., Laurent, F., Schiettekatte, J., & Carrier, R. et al. (1990). SAFEWORK: A microcomputer-aided workstation design and analysis. New advances and future development. In W. Karwowski, A. Genaidy, & S.S. Asfour (Eds.), Computer aided ergonomics (pp. 157-180). London: Taylor & Francis.
9 McDanlel, J.W. (1990). Models for ergonomic analysis and design: COMBIMAN and CREW CHIEF. In W. Karwowski, A. Genaidy, & S.S. Asfour (Eds.), Computeraided ergonomics (pp. 138-156). London: Taylor & Francis.
10 Pheasant, S. (1988). Bodyspace: Anthropometry, ergonomics and eesign. London: Taylor & Francis.
11 Roebuck, J. A., Kroemer, K. H. E., & Thomson, W. G. (1975). Engineering anthropometry methods. New York: Wiley-Interscience.
12 Sengupta, A. K., & Das, B. (1997). Human: An AutoCad based three dimensionalanthropometric human model for workstation design. International Journal of Industrial Ergonomics, 19, 345-352.   DOI   ScienceOn