Simulating seat discomfort: An experimental design for using digital human models

Annika Ulherr, Florian Zeller, Klaus Bengler

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

It was the aim of the project UDASim, funded by the German ministry of education and research, to develop a tool for car seat discomfort assessment within the virtual design phase. Seat discomfort depends on a variety of parameters whose correlations are unknown. Therefore, we have chosen an artificial neural network approach using the computational results of three digital human models as input. The training data were computational results based on data from a large-scale seat discomfort study with real test subjects. The digital human models simulated all subjects and experiment conditions, so the experimental design was essential for the project goal. We describe the conducted experiment, its design and the different measurements required by the digital human models. Additionally, we explain the related measurement systems and the choice of test subjects.

Original languageEnglish
Title of host publicationAdvances in Human Factors in Simulation and Modeling - Proceedings of the AHFE 2017 International Conference on Human Factors in Simulation and Modeling, 2017
EditorsDaniel N. Cassenti
PublisherSpringer Verlag
Pages354-365
Number of pages12
ISBN (Print)9783319605906
DOIs
StatePublished - 2018
EventAHFE 2017 International Conference on Human Factors in Simulation and Modeling, 2017 - Los Angeles, United States
Duration: 17 Jul 201721 Jul 2017

Publication series

NameAdvances in Intelligent Systems and Computing
Volume591
ISSN (Print)2194-5357

Conference

ConferenceAHFE 2017 International Conference on Human Factors in Simulation and Modeling, 2017
Country/TerritoryUnited States
CityLos Angeles
Period17/07/1721/07/17

Keywords

  • Digital human model
  • Discomfort
  • Experiment design
  • Seating

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