在人体工程学设计的数字人体建模中使用姿势预测模型:系统性审查
Mengjie Zhang1, Arne Nieuwenhuys1, Yanxin Zhang1
1Department of Exercise Sciences, Faculty of Science, The University of Auckland, Auckland, New Zealand.
Medical engineering & physics
|August 20, 2025
概括
对于人体工程学设计的姿势预测模型的审查发现数据驱动的模型提供了准确性,而基于优化的模型提供了生物力学忠实性. 未来的工作应该整合可扩展的运动数据和混合方法,以便更好地在现实世界中应用.
科学领域:
- 人体工程学和人类因素
- 计算机科学 计算机科学
- 生物机械工程 生物机械工程
背景情况:
- 姿势预测模型对于数字人体建模 (DHM) 中的人体工程设计至关重要.
- 需要进行系统审查来评估当前的姿势预测模型.
- 了解模型开发,验证和应用是关键.
研究的目的:
- 系统地审查和批判性地评估体位预测模型在DHM.
- 将模型分为数据驱动和基于优化的方法.
- 确定局限性和未来的研究方向.
主要方法:
- 在遵循PRISMA指南的九个学术数据库中进行系统的文献搜索.
- 包括24项研究,分为数据驱动 (n=12) 和基于优化的 (n=12) 模型.
- 对模型开发,验证,应用和局限性的分析.
主要成果:
- 数据驱动模型 (例如神经网络) 显示出高精度但有限的概括性.
- 基于优化的模型提供生物机械保真性,但面临着计算和CAD集成的挑战.
- 大多数模型缺乏人体工程学评估和实时可用性,缺乏足够多样化的数据集和现实世界的验证.
结论:
- 结合基于学习的推断和生物机械模拟的混合策略是有希望的.
- 未来的研究应该专注于使用计算机视觉来改进姿势预测的可扩展的运动数据.
- 提高模型通用性,计算效率和现实世界的验证对于DHM应用程序至关重要.
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