The project will support pilot testing of AI strategies, determine target architecture and quantitative technical objectives for implementation of an AI solution. Specifically, this AI solution will leverage gait data from the WithinStride™ system, combined with publicly available human movement datasets, to explore the feasibility of predicting knee joint loading and force sensing—key biomechanical parameters for musculoskeletal health. This pilot will validate AI architectures and inform the business case for future implementation in clinical and research markets.
This record is a historical disbursement from Canada's open grants database — it documents a past payment, not an active program accepting applications.
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