Enhancing human system performance through digital human modeling

人的因素和人体工程学(高频元件配置。人工测试需要时间，成本很高，而且可能会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“虚拟工作者”，从高频评估设备、产品和工作场所。缺乏训练有素的高素质人员(HQP)，具有DHM专业知识，以及缺乏关于DHM的有效性和敏感性的基础知识，无法在变化的人(例如，性别、体重等)下得出现实的运动行为预测。以及与任务(例如，身体负担负荷、负担)相关的约束。这一研究项目应用了基于约束的理论框架和新颖的移动表征方法，以促进我们关于人和任务相关因素如何影响职业背景下的移动行为的基本知识。此外，通过整合经验和计算(DHM)证据，我和我的HQP将确定当受到人和任务因素的限制时，是否通过调整绩效目标来调整运动行为。 目前，我们的加拿大武装部队可用于决策的信息有限，例如士兵应该穿什么类型的装备，他们可以携带多少负荷，或者什么类型的防弹衣最有效地优化士兵的效率，同时最大限度地减少焊接负担(即，与受伤相关的生物力学后果)。在接下来的五年里，我和我的团队将以与军事相关的任务为起点，系统地揭示人和任务相关因素是如何影响运动行为的。这些知识可以用来调整和验证驱动基于DHM的模拟或“虚拟士兵”的性能目标。经过验证的“虚拟士兵”可以用来主动确定最有可能优化士兵效能的首选装备设计和配置。此外，我的HQP将在DHM方面培养高级且适销对路的熟练程度，解决目前劳动力中DHM专业知识的空白。我的HQP将接受培训，以部署基于DHM的模拟，以更广泛地解决跨行业的工伤问题，包括医疗保健、制造业和服务业。

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.