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Digital human modeling and its applications: Review and future prospects.

Xuyao Yu1, Yao Shi1, Hui Yu2

  • 1State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin, China.

Journal of X-Ray Science and Technology
|September 28, 2015
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Summary

Digital Human Modeling integrates IT and bioscience for applications from DNA to organs. This review summarizes progress, challenges, and future prospects in this interdisciplinary field.

Keywords:
Virtual visible humanvirtual biophysics humanvirtual intelligent humanvirtual physiological human

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Area of Science:

  • Digital Human Modeling
  • Interdisciplinary research combining information technology and bioscience.

Background:

  • Digital Human Modeling (DHM) is applied across diverse fields including aviation, defense, entertainment, sports, and medicine.
  • DHM analyzes biological systems from molecular to organ levels.

Purpose of the Study:

  • To review recent research achievements and progress in Digital Human Modeling.
  • To identify and summarize current issues and challenges in the field.
  • To provide references for future development of Digital Human Modeling.

Main Methods:

  • Categorized research into four aspects: Visible Human, Virtual Physical Human, Virtual Physiological Human, and Intelligent Virtual Human.
  • Analyzed data acquisition, analysis, and dataset establishment for Visible Human.
  • Outlined Virtual Physical Human research in radiation, ultrasonic, electric, and mechanical domains.
  • Classified Virtual Physiological Human research into gene molecules, cells, and organs.
  • Focused on virtual brain and control for Intelligent Virtual Human.

Main Results:

  • Classified and analyzed extensive preference data based on Digital Human investigation and application requirements.
  • Summarized overall plans, technical routes, work plans, current status, goals, results, and application value.
  • Identified key technical challenges in data collection, processing, and modeling.

Conclusions:

  • Summarized technical solutions, research outcomes, and problems from major researchers in Digital Human.
  • Reviewed the core technologies and general technical schemes.
  • Discussed future prospects of Digital Human Modeling.