Fusing wearables and advanced computational models for real world analysis

融合可穿戴设备和先进的计算模型以进行现实世界分析

• 批准号: DE220101249
• 负责人: A/Prof David Saxby
• 金额: $ 33.71万
• 依托单位: Griffith University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Early Career Researcher Award
• 财政年份: 2022
• 资助国家: 澳大利亚
• 起止时间: 2022-01-01 至 2024-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DE220101249
• 关键词: Fusing; wearables; advanced; computational; models

This project aims to solve a major technological problem: our inability to study human skeletal, muscular, and neural function in the real world. This project expects to, for the first time globally, integrate wearable sensors with neuromusculoskeletal computational models and artificial intelligence, and validate this technology. Expected project outcomes include an integrated system for future commercialisation and new understanding of how whole-body behavioural choices affect tissue mechanics during daily and sporting activities. Project outcomes should provide significant benefits, such as the ability to escape the laboratory to understand human performance for defence, sport, industrial, and health settings.

该项目旨在解决一个主要的技术问题：我们无法在真实的世界中研究人类的骨骼、肌肉和神经功能。该项目预计将首次在全球范围内将可穿戴传感器与神经肌肉骨骼计算模型和人工智能相结合，并验证这项技术。预期的项目成果包括未来商业化的综合系统，以及对日常和体育活动中全身行为选择如何影响组织力学的新理解。项目成果应该提供显著的好处，例如能够摆脱实验室，了解人类在国防、体育、工业和卫生环境中的表现。