Smarter prosthetic legs learn natural movement

NCT ID NCT06138977

First seen Feb 20, 2026 · Last updated May 13, 2026 · Updated 15 times

Summary

This study aims to make powered prosthetic legs for above-knee amputees move more naturally by using machine learning. Researchers will collect data from people without amputations to create a model that helps the prosthetic leg adapt to different activities like walking, stairs, and ramps. The study involves 40 participants and focuses on improving joint movement and reducing the time needed to set up the prosthetic leg.

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Contacts and locations

Study contacts

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

Locations

  • Rehab Lab, University of Michigan

    RECRUITING

    Ann Arbor, Michigan, 48109, United States

    Contact Phone: •••-•••-•••• Email: •••••@•••••

Conditions

Explore the condition pages connected to this study.