Based on Upper Extremity Comfort ROM of Ergonomic Methods for Household Products Design

  • Fan Yang
  • Qianxiang Zhou
  • Aiping Yang
  • Huimin Hu
  • Xin Zhang
  • Zhongqi Liu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8529)


The structure of product demands a higher level of user performance and involves risk that may possibly negatively impact the user’s safety and health. For this reason, the evaluation or design of new products requires extensive knowledge of human interaction, including the operation and comfort of motion. This paper presents a technique for assessment of the upper extremity comfortable ROM. The method is based on new experimental data from perceived discomfort of subjects, and uses digital human modeling (DHM) systems to verify the perceived discomfort rank. 55 participants participated in this experiment. They were required to extract and insert pegs from different panels. We get the comfort ROM of subjects according to subjective comfortable ratings and use digital DHM systems to verify the perceived discomfort rank. In this paper, comfortable motion range of the 50th percentile was shown only. Using DHM systems, we can supply upper limb comfortable motion range of different percentile Chinese people for household products ergonomics design.


Comfort ROM DHM Product design Ergonomics 


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  1. 1.
    Sanders, M.S., Mc Cormick, E.: Human Factors in Engineering and Design, pp. 424–512. McGraw-Hill, New York (1993)Google Scholar
  2. 2.
    Andrews, D.M., Norman, R.W., Wells, R.P., Neumann, P.: Comparison of self-report and observer methods for repetitive posture and load assessment. Occup. Ergon. 1(3), 211–222 (1998)Google Scholar
  3. 3.
    Priel, V.Z.: A numerical definition of posture. Hum. Factors 16, 576–584 (1974)Google Scholar
  4. 4.
    Karhu, O., Kansi, P., Kuorinka, I.: Correcting working postures in industry: A practical method for analysis. Appl. Ergon. 8(4), 199–201 (1977)CrossRefGoogle Scholar
  5. 5.
    McAtamney, L., Corlett, E.N.: RULA: a survey method for the investigation of work-related upper limb disorders. Appl. Ergon. 24(2), 91–99 (1993)CrossRefGoogle Scholar
  6. 6.
    Buchholz, B., Paquet, V., Punnett, L., Lee, D., Moir, S.: PATH: a work sampling-based approach to ergonomics job analysis for construction and other non-repetitive work. Appl. Ergon. 27(3), 177–187 (1996)CrossRefGoogle Scholar
  7. 7.
    Genaldy, A.M., Karwowski, W.: The effects of neutral posture deviations on perceived joint discomfort ratings in sitting and standing postures. Ergonomics 36(7), 785–792 (1993)CrossRefGoogle Scholar
  8. 8.
    Genaidy, A., Barkawi, H., Christensen, D.: Ranking of static non-neutral postures around the joints of the upper extremity and the spine. Ergonomics 38(9), 1851–1858 (1995)CrossRefGoogle Scholar
  9. 9.
    Kee, D., Karwowski, W.: LUBA: An assessment technique for postural loading on the upper body based on joint motion discomfort and maximum holding time. Applied Ergonomics 32(4), 357–366 (2001)CrossRefGoogle Scholar
  10. 10.
    Karwowski, W., Soares, M.M., Neville, A.: Stanton: Human Factors and Ergonomics in Consumer Product Design: Methods and Techniques, pp. 325–326. Taylor & Francis Group, Boca Raton (2011)Google Scholar
  11. 11.
    Chaffin, D.B.: Simulation of Human Reach Motions for Ergonomics Analyses. In: Proceedings of SAE Digital Human Modeling for Design and Engineering Conference, Germany, pp. 18–22 (2002)Google Scholar
  12. 12.
    Chaffin, D.B.: Human motion simulation for vehicle and workplace design. Human Factors and Ergonomics in Manufacturing & Service Industries 17(5), 475–484 (2007)CrossRefGoogle Scholar
  13. 13.
    Porter, J.M., Gyi, D.E.: Exploring the optimum posture for driving comfort. International Journal of Vehicle Design 19(3), 255–266 (1998)Google Scholar
  14. 14.
    Parkinson, M., Reed, M.: Optimizing vehicle occupant packaging. SAE Transactions: Journal of Passenger Cars–Mechanical Systems 115 (2006)Google Scholar
  15. 15.
    Siemens. Siemens, P.L.M.: software: Jack and process simulate software (2010),

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Fan Yang
    • 1
  • Qianxiang Zhou
    • 1
  • Aiping Yang
    • 2
  • Huimin Hu
    • 3
  • Xin Zhang
    • 3
  • Zhongqi Liu
    • 1
  1. 1.School of Biological Science and Medical EngineeringBeihang UniversityBeijingChina
  2. 2.School of Electronics and MechanicsBeijing Union UniversityBeijingChina
  3. 3.Ergonomics laboratoryChina National Institute of StandardizationBeijingChina

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