An Exercise Health Prediction Method and Implementation Based on Thermal Performance Simulation of Clothed Human

Teng Yi*, Jiao Jiao, Chen Guoming, Peng Junfeng, Xu Jun, Ma Zhuowen, Zhang Jiachen

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

Abstract

In this paper, we presented an exercise health prediction method based on thermal performance simulation of clothed human. Based on the proposed simulation framework, multi-disciplinary knowledge and multi-combined models can be integrated together to form a simulation system, in which the pre-simulation, mathematical models' integration, numerical solving method and simulation presentation are all included. By importing cloud computing technology into the thermal simulation of clothed human, both the average-case running time has been drastically reduced. With the cloud CAD system, users can quickly simulate, evaluate, validate, and optimize the design for the specified wearing scenario.

Original languageEnglish
Title of host publicationProceedings - 2022 9th International Conference on Digital Home, ICDH 2022
EditorsRuo-mei Wang, Zhong-xuan Luo, Bao-cai Yin, Jie-qing Tan
PublisherIEEE
Pages135-140
Number of pages6
ISBN (Electronic)9781665454780
ISBN (Print)9781665454797
DOIs
Publication statusPublished - Oct 2022
Event9th International Conference on Digital Home, ICDH 2022 - Guangzhou, China
Duration: 28 Oct 202230 Oct 2022

Publication series

NameProceedings - International Conference on Digital Home, ICDH

Conference

Conference9th International Conference on Digital Home, ICDH 2022
Country/TerritoryChina
CityGuangzhou
Period28/10/2230/10/22

User-Defined Keywords

  • cloud CAD system
  • simulation framework
  • thermal performance simulation

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