The grand challenge of predicting human movement energetics

预测人类运动能量学的巨大挑战

• 批准号: FT190100129
• 负责人: Prof Glen Lichtwark
• 金额: $ 64.58万
• 依托单位: Queensland University of Technology
• 依托单位国家: 澳大利亚
• 项目类别: ARC Future Fellowships
• 财政年份: 2020
• 资助国家: 澳大利亚
• 起止时间: 2020-05-11 至 2024-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/FT190100129
• 关键词: grand; challenge; predicting; human; movement

This Project aims to advance our understanding of how the neuromuscular system uses energy during movement by exploring the interplay of different factors that influence movement energetics. The Project will explore different levels of organisation; from how muscle fibres consume energy to how those fibres interact and are subsequently controlled within a complex neuromuscular system. Expected outcomes of this Project will be an improved capacity to predict energy expenditure of the vast array of movements that humans perform. This will enable accurate monitoring of human energy expenditure and will provide benefits for individualised exercise prescription, enhancing work productivity or designing devices to augment human performance.

该项目旨在通过探索影响运动能量学的不同因素的相互作用，促进我们对神经肌肉系统如何在运动过程中使用能量的理解。该项目将探索不同层次的组织;从肌肉纤维如何消耗能量到这些纤维如何相互作用，并随后在复杂的神经肌肉系统中进行控制。该项目的预期成果将是提高预测人类进行的大量运动的能量消耗的能力。这将能够准确监测人体能量消耗，并将为个性化运动处方提供益处，提高工作效率或设计设备以增强人类表现。