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A Hybrid Kinematic and Machine Learning Approach to Future Joint Angle Estimation at the Ankle

Year: 2025

Type: article

Source: IEEE Transactions on Medical Robotics and Bionics

DOI: 10.1109/tmrb.2025.3619769

Authors: Ryan S. Pollard, Jacquelyn R. Brokamp, Iván E. Nail-Ulloa, Michael E. Zabala

Institution: Auburn University

Language: English

Topic: Prosthetics and Rehabilitation Robotics

Subfield: Biomedical Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funder: National Science Foundation

Award: Graduate Research Fellowship Program (GRFP)

OpenAlex ID: W4414988623

FWCI:

Cites: 41

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