Automatic learning of climbing configuration space for digital human children model

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

doi:10.1007/978-3-319-94223-0_46

Automatic learning of climbing configuration space for digital human children model

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	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
Editors	Daniel N. Cassenti
Publisher	Springer Verlag
Pages	483-490
Number of pages	8
ISBN (Print)	9783319942223
DOIs	https://doi.org/10.1007/978-3-319-94223-0_46
Publication status	Published - 2019
Event	AHFE International Conferences on Human Factors and Simulation and Digital Human Modeling and Applied Optimization, 2018 - Orlando, United States Duration: 2018 Jul 21 → 2018 Jul 25

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	780
ISSN (Print)	2194-5357

Other

Other	AHFE International Conferences on Human Factors and Simulation and Digital Human Modeling and Applied Optimization, 2018
Country/Territory	United States
City	Orlando
Period	18/7/21 → 18/7/25

Keywords

Climbing behavior
Configuration space
Digital human children model

ASJC Scopus subject areas

Control and Systems Engineering
Computer Science(all)

Access to Document

10.1007/978-3-319-94223-0_46

Cite this

Nose, T., Kitamura, K., Oono, M., Nishida, Y., & Ohkura, M. (2019). Automatic learning of climbing configuration space for digital human children model. In D. N. Cassenti (Ed.), 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; Vol. 780). Springer Verlag. https://doi.org/10.1007/978-3-319-94223-0_46

Automatic learning of climbing configuration space for digital human children model. / Nose, Tsubasa; Kitamura, Koji; Oono, Mikiko et al.

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. ed. / Daniel N. Cassenti. Springer Verlag, 2019. p. 483-490 (Advances in Intelligent Systems and Computing; Vol. 780).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Nose, T, Kitamura, K, Oono, M, Nishida, Y & Ohkura, M 2019, Automatic learning of climbing configuration space for digital human children model. in DN Cassenti (ed.), 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. Advances in Intelligent Systems and Computing, vol. 780, Springer Verlag, pp. 483-490, AHFE International Conferences on Human Factors and Simulation and Digital Human Modeling and Applied Optimization, 2018, Orlando, United States, 18/7/21. https://doi.org/10.1007/978-3-319-94223-0_46

Nose T, Kitamura K, Oono M, Nishida Y, Ohkura M. Automatic learning of climbing configuration space for digital human children model. In Cassenti DN, editor, 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. Springer Verlag. 2019. p. 483-490. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-319-94223-0_46

Nose, Tsubasa ; Kitamura, Koji ; Oono, Mikiko et al. / Automatic learning of climbing configuration space for digital human children model. 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. editor / Daniel N. Cassenti. Springer Verlag, 2019. pp. 483-490 (Advances in Intelligent Systems and Computing).

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Automatic learning of climbing configuration space for digital human children model

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Keywords

ASJC Scopus subject areas

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