AI could play a role in the development of low-cost technologies for monitoring foot health

Updated

Researchers have demonstrated AI tools could play an important part in the development of simpler, lower-cost technologies for monitoring foot health, particularly in settings where access to specialized equipment may be limited.

A collaboration between The University of Queensland, iOrthotics and Healthia Limited has produced an AI model capable of reconstructing detailed foot pressure maps using information about foot shape and a small number of anatomical pressure points.

The proposed deep learning model achieved its best performance using just 16 anatomical 'landmarks' from the bottom of the foot and achieved a comparable result using only 2 landmarks, indicating promising reconstruction performance even under very limited sensing conditions.

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