Final frontier in computational modelling of movement

该项目旨在创建所需的计算模型和方法，以促进当前对运动过程中肌肉骨骼功能的理解。人类必须保持他们的行动能力，以保持生活质量。预测模型可能是了解运动过程中肌肉骨骼功能的最有力的方法。目前的计算方法太慢，太不可靠，无法使用肌肉和关节解剖的真实模型来提供运动的预测性模拟。该项目希望创建下一代方法和算法，以实现运动的预测性建模。预测性模拟将为肌肉如何在日常活动(如步行)中稳定和控制脊柱、骨盆和下肢的运动提供新的见解。

This project aims to create the computational models and methods needed to advance current understanding of musculoskeletal function during movement. Humans must maintain their capacity to move in order to maintain quality-of-life. Predictive modelling is potentially the most powerful approach for understanding musculoskeletal function during movement. Current computational methods are too slow and unreliable to deliver predictive simulations of movement using realistic models of muscle and joint anatomy. This project expects to create the next generation of methods and algorithms needed to enable predictive modelling of movement. Predictive simulations will provide new insights into how muscles stabilise and control movements of the spine, pelvis and lower limbs during daily activities such as walking.