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 proceedingConference contribution

1 Citation (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 languageEnglish
Title of host publicationAdvances 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
EditorsDaniel N. Cassenti
PublisherSpringer Verlag
Pages483-490
Number of pages8
ISBN (Print)9783319942223
DOIs
Publication statusPublished - 2019 Jan 1
EventAHFE International Conferences on Human Factors and Simulation and Digital Human Modeling and Applied Optimization, 2018 - Orlando, United States
Duration: 2018 Jul 212018 Jul 25

Publication series

NameAdvances in Intelligent Systems and Computing
Volume780
ISSN (Print)2194-5357

Other

OtherAHFE International Conferences on Human Factors and Simulation and Digital Human Modeling and Applied Optimization, 2018
CountryUnited States
CityOrlando
Period18/7/2118/7/25

Keywords

  • Climbing behavior
  • Configuration space
  • Digital human children model

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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