Empowering Augmented Mobility of the Aging Population using Computational Musculoskeletal Simulation

The project will develop a computational simulation platform to evaluate elderly people walking with assistive robots and provide quantitative evidence for optimal designs and customized assistive strategies. The platform will simulate an elderly person walking with assistive robots in a virtual environment by translating aging population characteristics and real-world models of assistive robots into digital forms.

Workstream

Catalyst R4

Lead Organisation

The University of Bristol

Theme

Creating healthy Active places

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About the project

Nearly 6 million elderly people nationwide (or half of the aging population size) are physically inactive, with significance consequences on health conditions and decreased mobility. The associated demand and supply of physical support care for the aging population cost the UK £5.3 million a year.

Empowering mobility enables the aging population to preserve their physical fitness and promote health-related quality of life. Assistive robots have shown great potential for combating the mobility challenges experienced by the aging population. However, there is not currently consensus about targeted joints and assistive strategies for assisting the elderly walking. Moreover, assistive robots fail to give direct clues on the effects of the user’s efforts and energy changes, which renders experimental evaluations less informative.

The project will develop a computational simulation platform to evaluate elderly people walking with assistive robots and provide quantitative scientific evidence for optimal designs and customized assistive strategies. The proposed platform will simulate an elderly person walking with assistive robots in a virtual environment by translating personalised characteristics of the aging population and models of assistive robots from the real world into digital forms.

By incorporating real-world walking scenarios, engineering can exploit changes in muscular efforts and energy to identify optimal robot design and customize assistive strategies. The proposed simulation platform provides a new solution to design and evaluate assistive robots for the elderly walking in an effective manner. It ultimately helps the aging population maintain mobility and increase life expectancy.

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