{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T20:05:20Z","timestamp":1766088320709,"version":"build-2065373602"},"reference-count":35,"publisher":"MDPI AG","issue":"17","license":[{"start":{"date-parts":[[2024,8,28]],"date-time":"2024-08-28T00:00:00Z","timestamp":1724803200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"European Regional Development Fund (ERDF)","award":["CF-2018-1018-I","CF-2020-1372"],"award-info":[{"award-number":["CF-2018-1018-I","CF-2020-1372"]}]},{"name":"Ireland\u2019s European Structural and Investment Funds Programmes","award":["CF-2018-1018-I","CF-2020-1372"],"award-info":[{"award-number":["CF-2018-1018-I","CF-2020-1372"]}]},{"name":"Enterprise Ireland commercialisation fund","award":["CF-2018-1018-I","CF-2020-1372"],"award-info":[{"award-number":["CF-2018-1018-I","CF-2020-1372"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Gait speed is increasingly recognized as an important health indicator. However, gait analysis in clinical settings often encounters inconsistencies due to methodological variability and resource constraints. To address these challenges, GaitKeeper uses artificial intelligence (AI) and augmented reality (AR) to standardize gait speed assessments. In laboratory conditions, GaitKeeper demonstrates close alignment with the Vicon system and, in clinical environments, it strongly correlates with the Gaitrite system. The integration of a cloud-based processing platform and robust data security positions GaitKeeper as an accurate, cost-effective, and user-friendly tool for gait assessment in diverse clinical settings.<\/jats:p>","DOI":"10.3390\/s24175550","type":"journal-article","created":{"date-parts":[[2024,8,28]],"date-time":"2024-08-28T03:57:06Z","timestamp":1724817426000},"page":"5550","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["GaitKeeper: An AI-Enabled Mobile Technology to Standardize and Measure Gait Speed"],"prefix":"10.3390","volume":"24","author":[{"given":"Naomi","family":"Davey","sequence":"first","affiliation":[{"name":"Institute of Memory and Cognition, Tallaght University Hospital, D24 NR0A Dublin, Ireland"},{"name":"Department of Medical Gerontology, School of Medicine, Trinity College Dublin, 2 Dublin, Ireland"}]},{"given":"Gillian","family":"Harte","sequence":"additional","affiliation":[{"name":"Institute of Memory and Cognition, Tallaght University Hospital, D24 NR0A Dublin, Ireland"},{"name":"Department of Physiotherapy, Tallaght University Hospital, D24 NR0A Dublin, Ireland"}]},{"given":"Aidan","family":"Boran","sequence":"additional","affiliation":[{"name":"Insight Centre, Dublin City University, Collins Ave Ext, Whitehall, 9 Dublin, Ireland"},{"name":"Digital Gait Labs, Glasnevin, 9 Dublin, Ireland"}]},{"given":"Paul","family":"Mc Elwaine","sequence":"additional","affiliation":[{"name":"Institute of Memory and Cognition, Tallaght University Hospital, D24 NR0A Dublin, Ireland"},{"name":"Department of Medical Gerontology, School of Medicine, Trinity College Dublin, 2 Dublin, Ireland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3721-0197","authenticated-orcid":false,"given":"Se\u00e1n P.","family":"Kennelly","sequence":"additional","affiliation":[{"name":"Institute of Memory and Cognition, Tallaght University Hospital, D24 NR0A Dublin, Ireland"},{"name":"Department of Medical Gerontology, School of Medicine, Trinity College Dublin, 2 Dublin, Ireland"},{"name":"Digital Gait Labs, Glasnevin, 9 Dublin, Ireland"}]}],"member":"1968","published-online":{"date-parts":[[2024,8,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"314","DOI":"10.1123\/japa.2013-0236","article-title":"Walking speed: The functional vital sign","volume":"23","author":"Middleton","year":"2015","journal-title":"J. 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