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Currently, gait assessments have been mainly analyzed in laboratory or hospital settings, which only partially reflect usual performance (i.e., real world behavior). In this study, we aim to validate a robust walking detection algorithm using a single foot-worn inertial measurement unit (IMU) in real-life settings. We used a challenging dataset including 18 individuals performing free-living activities. A multi-sensor wearable system including pressure insoles, multiple IMUs, and infrared distance sensors (INDIP) was used as reference. Accurate walking detection was obtained, with sensitivity and specificity of 98 and 91% respectively. As robust walking detection is needed for ambulatory monitoring to complete the processing pipeline from raw recorded data to walking\/mobility outcomes, a validated algorithm would pave the way for assessing patient performance and gait quality in real-world conditions.<\/jats:p>\n                <jats:p><jats:bold>Graphical Abstract<\/jats:bold><\/jats:p>","DOI":"10.1007\/s11517-023-02826-x","type":"journal-article","created":{"date-parts":[[2023,4,17]],"date-time":"2023-04-17T23:03:01Z","timestamp":1681772581000},"page":"2341-2352","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["A robust walking detection algorithm using a single foot-worn inertial sensor: validation in real-life settings"],"prefix":"10.1007","volume":"61","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1618-4054","authenticated-orcid":false,"given":"Ga\u00eblle","family":"Prigent","sequence":"first","affiliation":[]},{"given":"Kamiar","family":"Aminian","sequence":"additional","affiliation":[]},{"given":"Andrea","family":"Cereatti","sequence":"additional","affiliation":[]},{"given":"Francesca","family":"Salis","sequence":"additional","affiliation":[]},{"given":"Tecla","family":"Bonci","sequence":"additional","affiliation":[]},{"given":"Kirsty","family":"Scott","sequence":"additional","affiliation":[]},{"given":"Claudia","family":"Mazz\u00e0","sequence":"additional","affiliation":[]},{"given":"Lisa","family":"Alcock","sequence":"additional","affiliation":[]},{"given":"Silvia","family":"Del Din","sequence":"additional","affiliation":[]},{"given":"Eran","family":"Gazit","sequence":"additional","affiliation":[]},{"given":"Clint","family":"Hansen","sequence":"additional","affiliation":[]},{"given":"Anisoara","family":"Paraschiv-Ionescu","sequence":"additional","affiliation":[]},{"name":"for the Mobilise-D consortium","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,4,18]]},"reference":[{"issue":"10\u201311","key":"2826_CR1","doi-asserted-by":"publisher","first-page":"878","DOI":"10.1177\/0269215508090675","volume":"22","author":"ED de Bruin","year":"2008","unstructured":"de Bruin ED, Hartmann A, Uebelhart D, Murer K, Zijlstra W (2008) Wearable systems for monitoring mobility-related activities in older people: a systematic review. 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