Record link: 
http://hdl.handle.net/20.500.12708/230352
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Title: 
Smartphone-based vestibular & gait analysis for remote fall risk assessment
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Citation: 
Rezk, E., Luschin-Ebengreuth, M., & Kaufmann, H. (2026). Smartphone-based vestibular & gait analysis for remote fall risk assessment. Frontiers in Digital Health, 8, 1–9. https://doi.org/10.3389/fdgth.2026.1798559
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Publisher DOI: 
10.3389/fdgth.2026.1798559
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Publication Type: 
Article - Original Research Article
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Language: 
English
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Authors: 
Rezk, Eugene 
Luschin-Ebengreuth, Marion 
Kaufmann, Hannes 
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Organisational Unit: 
E193-03 - Forschungsbereich Virtual and Augmented Reality 
E056-02 - Fachbereich Computational Design (DC:CD) 
E057-16 - Fachbereich Center for Geometry and Computational Design 
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Journal: 
Frontiers in Digital Health 
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Date (published): 
2-Jul-2026
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Number of Pages: 
9
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Publisher: 
Frontiers Media S.A.
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Keywords: 
gait analysis; computational modeling; digital biomarkers; smartphone-based sensing; inertial measurement unit (IMU); multimodal signal processing
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Research Areas: 
Visual Computing and Human-Centered Technology: 100%
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Science Branch: 
1020 - Informatik: 100%
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