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The goal of this study was to develop a surrogate approach for assessing elderly\u2019s functional balance based on Short Form Berg Balance Scale (SFBBS) score.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Data were collected from a waist-mounted tri-axial accelerometer while participants performed a timed up and go test. Clinically relevant variables were extracted from the segmented accelerometer signals for fitting SFBBS predictive models. Regularized regression together with random-shuffle-split cross-validation was used to facilitate the development of the predictive models for automatic balance estimation.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Eighty-five community-dwelling older adults (72.12\u2009\u00b1\u20096.99\u00a0year) participated in our study. Our results demonstrated that combined clinical and sensor-based variables, together with regularized regression and cross-validation, achieved moderate-high predictive accuracy of SFBBS scores (mean MAE\u2009=\u20092.01 and mean RMSE\u2009=\u20092.55). Step length, gender, gait speed and linear acceleration variables describe the motor coordination were identified as significantly contributed variables of balance estimation. The predictive model also showed moderate-high discriminations in classifying the risk levels in the performance of three balance assessment motions in terms of AUC values of 0.72, 0.79 and 0.76 respectively.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>The study presented a feasible option for quantitatively accurate, objectively measured, and unobtrusively collected functional balance assessment at the point-of-care or home environment. It also provided clinicians and elderly with stable and sensitive biomarkers for long-term monitoring of functional balance.<\/jats:p><\/jats:sec>","DOI":"10.1186\/s12911-021-01463-4","type":"journal-article","created":{"date-parts":[[2021,3,25]],"date-time":"2021-03-25T21:02:54Z","timestamp":1616706174000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":29,"title":["Assessing elderly\u2019s functional balance and mobility via analyzing data from waist-mounted tri-axial wearable accelerometers in timed up and go tests"],"prefix":"10.1186","volume":"21","author":[{"given":"Lisha","family":"Yu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1571-5394","authenticated-orcid":false,"given":"Yang","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hailiang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tien-Lung","family":"Sun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Terrence E.","family":"Murphy","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kwok-Leung","family":"Tsui","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2021,3,25]]},"reference":[{"key":"1463_CR1","volume-title":"Falls in older people: Risk factors and strategies for prevention","author":"S Lord","year":"2001","unstructured":"Lord S, Sherrington C, Menz H, Close J. 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