Interpretable Biomechanical Feature Selection for VR Exercise Assessment Using SHAP and LDA.

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Title: Interpretable Biomechanical Feature Selection for VR Exercise Assessment Using SHAP and LDA.
Authors: Czajkowska U; Faculty of Mechanical Engineering, Wroclaw University of Science and Technology, Wybrzeże Wyspianskiego 27, 50-370 Wrocław, Poland., Żuk M; Faculty of Mechanical Engineering, Wroclaw University of Science and Technology, Wybrzeże Wyspianskiego 27, 50-370 Wrocław, Poland., Popek M; Faculty of Mechanical Engineering, Wroclaw University of Science and Technology, Wybrzeże Wyspianskiego 27, 50-370 Wrocław, Poland., Pezowicz C; Faculty of Mechanical Engineering, Wroclaw University of Science and Technology, Wybrzeże Wyspianskiego 27, 50-370 Wrocław, Poland.
Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2026 Jan 10; Vol. 26 (2). Date of Electronic Publication: 2026 Jan 10.
Publication Type: Journal Article
Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1424-8220
DOI:10.3390/s26020464