ARC Future Fellowships - Grant ID: FT200100098

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/FT200100098

Funding Status
Active

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Funded Activity Summary

Advancing human movement evaluation using artificial intelligence. Human movement disorders affect one-third of Australians; however, conventional approaches to assessing joint motion are costly and largely clinic- or laboratory-based. This project aims to combine biomechanical modelling and advanced machine learning to non-invasively produce accurate, low-cost, user-friendly shoulder and elbow joint angle measurements using wearable inertial sensors. The technology will enable a non-expert to obtain reliable kinematics data in any location. Accurate, wearable motion measurement will benefit next-generation healthcare including telemedicine and remote rehabilitation for isolated communities, performance monitoring of elite athletes and military personnel, and the gaming and film/animation industries.

Funded Activity Details

Start Date: 01-01-2021

End Date: 31-12-2024

Funding Scheme: ARC Future Fellowships

Funding Amount: $920,059.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Biomechanics | Biomedical Instrumentation | Biomechanical Engineering | Biomedical Engineering

ANZSRC Socio-Economic Objective (SEO)

Skeletal System and Disorders (incl. Arthritis) | Expanding Knowledge in Engineering | Conserving Aboriginal and Torres Strait Islander Heritage |

Other Keywords

Biomechanical Engineering | Biomechanics | Biomedical Engineering | Biomedical Instrumentation | Conserving Aboriginal and Torres Strait Islander Heritage | Expanding Knowledge in Engineering | Skeletal System and Disorders (incl. Arthritis)

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