Automatic learning of climbing configuration space for digital human children model

Tsubasa Nose, Koji Kitamura, Mikiko Oono, Yoshifumi Nishida, Michiko Ohkura

研究成果: Conference contribution

1 引用 (Scopus)

抜粋

Millions of children die from preventable injuries every year around the world. Environmental modification is one of the most effective ways to prevent these fatal injuries. The environment should be modified and products should be designed in ways that will reduce the risk of injury by taking child–environment and child–product interactions into account. However, it is still very difficult even for advanced simulation systems to predict how children interact with products in everyday life situations. In this study, we explored a data-driven method as a promising approach for simulating children’s interaction with products in everyday life situations. We conducted an observational study to collect data on children’s climbing behavior and developed a database on children’s climbing behavior to clarify a climbing configuration space, which enables the prediction and simulation of the possible climbing postures of children.

元の言語English
ホスト出版物のタイトルAdvances in Human Factors in Simulation and Modeling - Proceedings of the AHFE 2018 International Conferences on Human Factors and Simulation and Digital Human Modeling and Applied Optimization
編集者Daniel N. Cassenti
出版者Springer Verlag
ページ483-490
ページ数8
ISBN(印刷物)9783319942223
DOI
出版物ステータスPublished - 2019 1 1
イベントAHFE International Conferences on Human Factors and Simulation and Digital Human Modeling and Applied Optimization, 2018 - Orlando, United States
継続期間: 2018 7 212018 7 25

出版物シリーズ

名前Advances in Intelligent Systems and Computing
780
ISSN(印刷物)2194-5357

Other

OtherAHFE International Conferences on Human Factors and Simulation and Digital Human Modeling and Applied Optimization, 2018
United States
Orlando
期間18/7/2118/7/25

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

これを引用

Nose, T., Kitamura, K., Oono, M., Nishida, Y., & Ohkura, M. (2019). Automatic learning of climbing configuration space for digital human children model. : D. N. Cassenti (版), Advances in Human Factors in Simulation and Modeling - Proceedings of the AHFE 2018 International Conferences on Human Factors and Simulation and Digital Human Modeling and Applied Optimization (pp. 483-490). (Advances in Intelligent Systems and Computing; 巻数 780). Springer Verlag. https://doi.org/10.1007/978-3-319-94223-0_46