Crossmark

Paving the way towards kinematic assessment using monocular video: a preclinical benchmark of state-of-the-art deep-learning-based 3d human pose estimators against inertial sensors in daily living activities

Crossref DOI link: https://doi.org/10.1007/s10462-026-11559-w

Published Online: 2026-05-14

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Medrano-Paredes, Mario https://orcid.org/0009-0008-2638-2429
Fernández-González, Carmen https://orcid.org/0009-0006-8018-7769
Saoudi, Hichem https://orcid.org/0009-0005-5307-7049
Díaz-Pernas, Francisco-Javier https://orcid.org/0000-0002-5625-9607
González-Alonso, Javier https://orcid.org/0000-0003-3309-0578
Martínez-Zarzuela, Mario https://orcid.org/0000-0002-6866-3316
Funding

Funding for this research was provided by:

Universidad de Valladolid
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Text and Data Mining valid from 2026-05-14

Version of Record valid from 2026-07-08
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Article History

Received: 31 March 2025

Accepted: 26 March 2026

First Online: 14 May 2026

Declarations

Conflict of interest: The authors declare no competing interests.

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