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Perspectives on biomechanical data: a cross-disciplinary survey of current practices, challenges, and future needs

Jonas Borsch1, David Schnur1, Sebastian Roth1

  • 1Department of Mathematics, Informatics and Technology, 120189 University of Applied Sciences Koblenz , Joseph-Rovan-Allee 2, 53424 Remagen, Germany.

Biomedizinische Technik. Biomedical Engineering
|January 31, 2026
PubMed
Abstract

Keywords:
cross-sectional surveydata analysishuman activity recognitionmachine learning

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