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Optimal Arrangement of Inertial Sensors for Workload Estimation Using Digital Human Model Based on Body Surface Deformation Analysis

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Advances in Physical Ergonomics and Human Factors

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 489))

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Abstract

Nowadays, digital human models are often used to evaluate the usability of manufactured products. Such models can also be used to estimate loads on the body when motions are input and musculoskeletal simulations are carried out. When actual work motions are input into the digital human correctly, an accurate workload can be estimated. We used the “Dhaiba” digital human to estimate workload, and we used inertial sensors to measure work motion. In this paper, we propose the optimal sensor arrangement on the back for measuring waist posture based on analysis of body surface deformation due to motion.

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References

  1. Yang, J., Kim, J.H., Abdel-Malek, K., Marler, T., Beck, S., Kopp, G.R.: A new digital human environment and assessment of vehicle interior design. Comput. Aided Des. 39(7), 548–558 (2007)

    Article  Google Scholar 

  2. Jung, K., Kwon, O., You, H.: Development of a digital human model generation method for ergonomic design in virtual environment. Int. J. Industrial Ergon. 39(5), 744–478 (2009)

    Google Scholar 

  3. Fritzsche, L.: Ergonomics risk assessment with digital human models in car assembly: Simulation versus real life. Hum. Factors Ergon. Manuf. Ser. Ind. 20(4), 287–299 (2010)

    Article  Google Scholar 

  4. Imamura, Y., Tanaka, T., Suzuki, Y., Takizawa, K., Yamanaka, M.: Motion-based-design of elastic material for passive assistive device using musculoskeletal model. J. Robot. Mechatron. 23(6), 978–990 (2011)

    Article  Google Scholar 

  5. Miyajima, S., Tanaka, T., Imamura, Y., Kusaka, T.: Lumbar joint torque estimation based on simplified motion measurement using multiple inertial sensors. In: 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 6716–6719 (2015)

    Google Scholar 

  6. Endo, Y., Tada, M., Mochimaru, M.: Hand modeling and motion reconstruction for individuals. Int. J. Autom. Technol. 8(3), 376–387 (2014)

    Article  Google Scholar 

  7. Shingade, A., Ghotkar, A.: Animation of 3d human model using markerless motion capture applied to sports. Int. J. Comput. Graph. Animation 4(1), 27–39 (2014)

    Article  Google Scholar 

  8. Endo, Y., Tada, M., Mochimaru, M.: Dhaiba: development of virtual ergonomic assessment system with human models. In: Proceedings of the 3rd International Digital Human Modeling Symposium, Paper #58 (2014)

    Google Scholar 

  9. Endo, Y., Tada, M., Mochimaru, M.: Reconstructing individual hand models from motion capture data. J. Comput. Des. Eng. 1(1), 1–12 (2014)

    Google Scholar 

  10. Endo, Y., Tada, M., Mochimaru, M.: Estimation of arbitrary human models from anthropometric dimensions. Digital Hum. Model. Appl. Health, Safety, Ergono. Risk Manage.: Ergono. and Health, 9185, 3–14 (2015)

    Google Scholar 

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Authors and Affiliations

  1. Graduate School of Information Science and Technology, Hokkaido University, Hokkaido, Sapporo, Japan

    Saori Miyajima & Takayuki Tanaka

  2. Human Informatics Research Institute, National Institute of Advanced Industrial Science and Technology, Koto-Ku, Tokyo, Japan

    Natsuki Miyata, Mitsunori Tada & Masaaki Mochimaru

Authors
  1. Saori Miyajima
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  2. Natsuki Miyata
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  3. Mitsunori Tada
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  4. Takayuki Tanaka
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  5. Masaaki Mochimaru
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Corresponding author

Correspondence to Saori Miyajima .

Editor information

Editors and Affiliations

  1. Hong Kong University of Science and Technology, Kowloon, Hong Kong

    Ravindra Goonetilleke

  2. University of Central Florida , Orlando, Florida, USA

    Waldemar Karwowski

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Miyajima, S., Miyata, N., Tada, M., Tanaka, T., Mochimaru, M. (2016). Optimal Arrangement of Inertial Sensors for Workload Estimation Using Digital Human Model Based on Body Surface Deformation Analysis. In: Goonetilleke, R., Karwowski, W. (eds) Advances in Physical Ergonomics and Human Factors. Advances in Intelligent Systems and Computing, vol 489. Springer, Cham. https://doi.org/10.1007/978-3-319-41694-6_48

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  • DOI: https://doi.org/10.1007/978-3-319-41694-6_48

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-41693-9

  • Online ISBN: 978-3-319-41694-6

  • eBook Packages: EngineeringEngineering (R0)

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