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Enhancing human system performance through digital human modeling

Enhancing human system performance through digital human modeling
通过数字人体建模增强人体系统性能
批准号:
RGPIN-2018-04483
负责人:
Fischer, Steven
金额:
$2.62万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2020
资助国家:
加拿大
项目状态:
已结题
起止时间:
2020-01-01 至 2021-12-31

项目摘要

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中文摘要
翻译
人为因素和工效学(HF)配置。人体测试需要时间,成本高昂,并且可以限制可以探索的设计或设备配置的数量。随着计算机模拟和动画技术的进步,用户开始探索数字人体模型(DHM)或“虚拟工人”,以评估HF中的设备、产品和工作场所,缺乏训练有素的高素质人员(HQP),缺乏具有DHM专业知识的高素质人员(HQP),以及缺乏关于DHM的有效性和敏感性的基本知识,以在不断变化的人(例如,性别,体重等)和任务(例如,身体负荷)下得出真实的运动行为预测。累赘)相关约束。本研究项目应用基于约束的理论框架和新颖的运动表征方法来推进我们关于个人和任务相关因素如何影响职业背景下的运动行为的基本知识。此外,通过整合经验和计算(DHM)证据,我的HQP和我将通过调整性能目标来确定在受人和任务因素约束时是否调整运动行为。
英文摘要
Human factors and ergonomics (HF ment configurations. Human testing takes time, is costly, and can limit the number of designs or equipment configurations that can be explored. With advances in computer simulation and animation, users are beginning to explore digital human models (DHM), or "virtual workers", to evaluate equipment, products and workplaces from an HF a lack of well-trained highly qualified personnel (HQP) with expertise in DHM, and a lack of fundamental knowledge on the validity and sensitivity of DHMs to elicit realistic movement behaviour predictions under changing person (e.g., gender, body mass, etc.) and task (e.g., body-borne load, encumbrance) related constraints. This program of research applies a constraints-based theoretical framework and novel movement characterization approach to advance our fundamental knowledge about how person and task related factors influence movement behaviours in an occupational context. Moreover, by integrating empirical and computational (DHM) evidence, my HQP and I will determine if movement behaviours are adjusted, when constrained by person and task factors, by tuning performance objectives. Currently, our Canadian Armed Forces have limited information available to inform decisions about what type of equipment soldiers should wear, how much load they can carry, or what type of body armour is most effective to optimize soldier effectiveness while minimizing solder burden (i.e., biomechanical consequences associated with injury). In the next five years, my team and I will systematically uncover how person and task related factors affect movement behaviors, using tasks relevant to military as a starting point. This knowledge can be applied to tune and validate the performance objectives that drive DHM--based simulations, or “virtual soldiers”. Validated “virtual soldiers” can be used to proactively identify preferred equipment designs and configurations most likely to optimize solider effectiveness. In addition, my HQP will develop advanced and marketable proficiency in DHM, addressing a current void of DHM expertise in today's workforce. My HQP will be trained to deploy DHM-based simulations to tackle work-related injury concerns more broadly across sectors including healthcare, manufacturing and service sectors.
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Enhancing human system performance through digital human modeling
  • 批准号:
    RGPIN-2018-04483
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $5.25万
  • 财政年份:
    2022
  • 负责人:
    Fischer, Steven
  • 依托单位:
Enhancing human system performance through digital human modeling
  • 批准号:
    RGPIN-2018-04483
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.62万
  • 财政年份:
    2021
  • 负责人:
    Fischer, Steven
  • 依托单位:
Improved protection and performance through advanced helmet design
  • 批准号:
    507705-2016
  • 项目类别:
    Department of National Defence / NSERC Research Partnership
  • 资助金额:
    $4.03万
  • 财政年份:
    2021
  • 负责人:
    Fischer, Steven
  • 依托单位:
Improved protection and performance through advanced helmet design
  • 批准号:
    507705-2016
  • 项目类别:
    Department of National Defence / NSERC Research Partnership
  • 资助金额:
    $6.17万
  • 财政年份:
    2020
  • 负责人:
    Fischer, Steven
  • 依托单位:
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