A digital twin framework for human mobility measurement in the home setting

流动性对于维持生活质量和健康老龄化至关重要，但我们没有能力对家中或社区中的人进行准确的长期流动性评估。该项目将通过开发一个用户友好的“数字孪生”来克服这一工程挑战，该“数字孪生”结合了可穿戴传感器、3D映射和人工智能，以预测和可视化任何位置的实时人体关节运动和移动性。这一数字孪生框架将有利于澳大利亚老年人的下一代医疗保健，包括偏远社区的远程医疗和远程康复，精英运动员和军事人员的表现监测，以及游戏和电影/动画行业。

Mobility is essential to maintain quality of life and healthy ageing, yet we do not have the capability to perform accurate long-term mobility assessments of a person in their home or community. This project will overcome this engineering challenge by developing a user-friendly ‘digital twin’ that combines wearable sensors, 3D mapping and artificial intelligence to predict and visualise real-time human joint motion and mobility in any location. This digital twin framework will benefit next-generation healthcare for older Australians, including telemedicine and remote rehabilitation for isolated communities, performance monitoring of elite athletes and military personnel, and the gaming and film/animation industries.