Abstract
Frailty is a common condition in older adults, characterized, among other things, by impairments in gait and movement patterns. The proposed FRAILPOL repository addresses the critical gap in geriatric research by offering a comprehensive, open-access, five body-worn inertial sensors (ankles, wrists, and back of sacrum) signals recorded during the Time Up and Go test of 668 participants, community-dwelling older adults. The gait data, as well as the stride-based spatio-temporal parameters along with demographic and health-related information, including cognitive health data, have been grouped according to established clinical criteria into three classes (robust, pre-frailty, and frailty). The technical verification includes classification by reporting results for both binary (robust, frailty) and multi-class (robust, pre-frailty, frailty) classification using classical machine learning models with acceptable accuracy.
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Data availability
The FRAILPOL dataset is available at https://doi.org/10.6084/m9.figshare.c.7874411.
Code availability
The code is available at https://github.com/aabbasi-polsl/FRAILPOL_classification. This repository provides a modular Python pipeline for processing raw IMU data from wearable sensors, extracting gait parameters, and performing frailty classification (binary and three-class).
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Acknowledgements
This publication was supported by the Department of Computer Graphics, Vision, and Digital Systems, under the statutory research project (Rau6, 2026), Silesian University of Technology, Gliwice, Poland.
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Conceptualization: A.Sz. and M.B. Methodology: A.Sz., A.A., and M.B. Software: A.A. Formal analysis: A.Sz. Investigation: A.Sz., M.B., A.A., J.S., M.S., P.F., W.W., M.K., Z.B. Data curation: M.B., J.S., M.S., P.F., R.Z., P.W., W.W., M.K., Z.B. Writing - original draft: A.Sz. and A.A. Writing - review and editing: M.B., A.Sz., and A.A.
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Corresponding author A.Sz. of this work is an Editorial Board Member of Scientific Data and a Guest Editor for the “Datasets for gait analysis”.
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Szczȩsna, A., Amjad, A., Błaszczyszyn, M. et al. Database for Prevalence and Determinants of Frailty in the Elderly with Quantifying Functional Mobility. Sci Data (2026). https://doi.org/10.1038/s41597-026-06854-8
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DOI: https://doi.org/10.1038/s41597-026-06854-8
