{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T04:07:56Z","timestamp":1774498076943,"version":"3.50.1"},"reference-count":17,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2021,3,6]],"date-time":"2021-03-06T00:00:00Z","timestamp":1614988800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100016077","name":"EU","doi-asserted-by":"publisher","award":["287361"],"award-info":[{"award-number":["287361"]}],"id":[{"id":"10.13039\/100016077","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Australian National Health and Medical Research Council","award":["APP1038210"],"award-info":[{"award-number":["APP1038210"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Walking speed is a strong indicator of the health status of older people and patients. Using algorithms, the walking speed can be estimated from wearable accelerometers, which enables minimally obtrusive (longitudinal) monitoring. We evaluated the performance of two algorithms, the inverted pendulum (IP) algorithm, and a novel adaptation correcting for lateral step movement, which aimed to improve accuracy during slow walking. To evaluate robustness, we gathered data from different groups (healthy adults, elderly, and elderly patients) of volunteers (n = 159) walking under various conditions (over ground, treadmill, using walking aids) at a broad range of speeds (0.11\u20131.93 m\/s). Both of the algorithms showed good agreement with the reference values and similar root-mean-square errors (RMSEs) for walking speeds \u22650.5 m\/s, which ranged from 0.09\u20130.16 m\/s for the different positions, in line with the results from others. However, for slower walking, RMSEs were significantly better for the new method (0.06\u20130.09 m\/s versus 0.15\u20130.19 m\/s). Pearson correlation improved for speeds &lt;0.5 m\/s (from 0.67\u20130.72 to 0.73\u20130.82) as well as higher speeds (0.87\u20130.97 to 0.90\u20130.98) with the new method. Overall, we found that IP(-based) walking speed estimation proved to be applicable for a variety of wearing positions, conditions and speeds, indicating its potential value for health assessment applications.<\/jats:p>","DOI":"10.3390\/s21051854","type":"journal-article","created":{"date-parts":[[2021,3,7]],"date-time":"2021-03-07T21:52:15Z","timestamp":1615153935000},"page":"1854","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Validation of Walking Speed Estimation from Trunk Mounted Accelerometers for a Range of Walking Speeds"],"prefix":"10.3390","volume":"21","author":[{"given":"Sietse M.","family":"Rispens","sequence":"first","affiliation":[{"name":"Philips Research, Remote Patient Management and Chronic Care Department, High Tech Campus 34, 5656 AE Eindhoven, The Netherlands"}]},{"given":"Lieke G. E.","family":"Cox","sequence":"additional","affiliation":[{"name":"Philips Research, Patient Care &amp; Monitoring Department, High Tech Campus 34, 5656 AE Eindhoven, The Netherlands"}]},{"given":"Andreas","family":"Ejupi","sequence":"additional","affiliation":[{"name":"Philips Research, Remote Patient Management and Chronic Care Department, High Tech Campus 34, 5656 AE Eindhoven, The Netherlands"}]},{"given":"Kim","family":"Delbaere","sequence":"additional","affiliation":[{"name":"Falls, Balance and Injury Research Centre, Neuroscience Research Australia, University of New South Wales, Sydney, NSW 2031, Australia"},{"name":"School of Population Health, University of New South Wales, Sydney, NSW 2033, Australia"}]},{"given":"Janneke","family":"Annegarn","sequence":"additional","affiliation":[{"name":"Philips Research, Remote Patient Management and Chronic Care Department, High Tech Campus 34, 5656 AE Eindhoven, The Netherlands"}]},{"given":"Alberto G.","family":"Bonomi","sequence":"additional","affiliation":[{"name":"Philips Research, Patient Care &amp; Monitoring Department, High Tech Campus 34, 5656 AE Eindhoven, The Netherlands"}]}],"member":"1968","published-online":{"date-parts":[[2021,3,6]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1001\/jama.2010.1923","article-title":"Gait speed and survival in older adults","volume":"305","author":"Studenski","year":"2011","journal-title":"JAMA"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"e1743","DOI":"10.1002\/pri.1743","article-title":"Associations between gait speed and well-known fall risk factors among community-dwelling older adults","volume":"24","author":"Kyrdalen","year":"2019","journal-title":"Physiother. 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