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Quantitative comparison of explainable AI methods for interpreting deep learning–based classification of 3D gait kinematics

Published Online: 2026-03-31

Authors

Lan, Zhengyang

Lempereur, Mathieu

Aïssa-El-Bey, Abdeldjalil

Brochard, Sylvain

Rousseau, François
Funding

Funding for this research was provided by:

ANR AI4CHILD Project (ANR-19-CHIA-0015)
License Information

Text and Data Mining valid from 2026-03-31

Accepted Manuscript valid from 2026-03-31
More Information

Article History

Received: 12 May 2025

Accepted: 24 March 2026

First Online: 31 March 2026

Declarations

:

: The authors declare no competing interests.

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