{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T09:11:39Z","timestamp":1769159499686,"version":"3.49.0"},"reference-count":52,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2016,8,3]],"date-time":"2016-08-03T00:00:00Z","timestamp":1470182400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Activity level and gait parameters during daily life are important indicators for clinicians because they can provide critical insights into modifications of mobility and function over time. Wearable activity monitoring has been gaining momentum in daily life health assessment. Consequently, this study seeks to validate an algorithm for the classification of daily life activities and to provide a detailed gait analysis in older adults. A system consisting of an inertial sensor combined with a pressure sensing insole has been developed. Using an algorithm that we previously validated during a semi structured protocol, activities in 10 healthy elderly participants were recorded and compared to a wearable reference system over a 4 h recording period at home. Detailed gait parameters were calculated from inertial sensors. Dynamics of physical behavior were characterized using barcodes that express the measure of behavioral complexity. Activity classification based on the algorithm led to a 93% accuracy in classifying basic activities of daily life, i.e., sitting, standing, and walking. Gait analysis emphasizes the importance of metrics such as foot clearance in daily life assessment. Results also underline that measures of physical behavior and gait performance are complementary, especially since gait parameters were not correlated to complexity. Participants gave positive feedback regarding the use of the instrumented shoes. These results extend previous observations in showing the concurrent validity of the instrumented shoes compared to a body-worn reference system for daily-life physical behavior monitoring in older adults.<\/jats:p>","DOI":"10.3390\/s16081225","type":"journal-article","created":{"date-parts":[[2016,8,3]],"date-time":"2016-08-03T10:10:31Z","timestamp":1470219031000},"page":"1225","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":42,"title":["Physical Behavior in Older Persons during Daily Life: Insights from Instrumented Shoes"],"prefix":"10.3390","volume":"16","author":[{"given":"Christopher","family":"Moufawad el Achkar","sequence":"first","affiliation":[{"name":"Laboratory of Movement Analysis and Measurement, Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), 1015 Lausanne, Switzerland"}]},{"given":"Constanze","family":"Lenoble-Hoskovec","sequence":"additional","affiliation":[{"name":"Centre Hospitalier Universitaire Vaudois (CHUV), Service de g\u00e9riatrie et r\u00e9adaptation g\u00e9riatrique, 1011 Lausanne, Switzerland"}]},{"given":"Anisoara","family":"Paraschiv-Ionescu","sequence":"additional","affiliation":[{"name":"Laboratory of Movement Analysis and Measurement, Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), 1015 Lausanne, Switzerland"}]},{"given":"Kristof","family":"Major","sequence":"additional","affiliation":[{"name":"Centre Hospitalier Universitaire Vaudois (CHUV), Service de g\u00e9riatrie et r\u00e9adaptation g\u00e9riatrique, 1011 Lausanne, Switzerland"}]},{"given":"Christophe","family":"B\u00fcla","sequence":"additional","affiliation":[{"name":"Centre Hospitalier Universitaire Vaudois (CHUV), Service de g\u00e9riatrie et r\u00e9adaptation g\u00e9riatrique, 1011 Lausanne, Switzerland"}]},{"given":"Kamiar","family":"Aminian","sequence":"additional","affiliation":[{"name":"Laboratory of Movement Analysis and Measurement, Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), 1015 Lausanne, Switzerland"}]}],"member":"1968","published-online":{"date-parts":[[2016,8,3]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"219","DOI":"10.1016\/S0140-6736(12)61031-9","article-title":"Effect of physical inactivity on major non-communicable diseases worldwide: An analysis of burden of disease and life expectancy","volume":"380","author":"Lee","year":"2012","journal-title":"Lancet"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"998","DOI":"10.1249\/MSS.0b013e3181930355","article-title":"Sitting Time and Mortality from All Causes, Cardiovascular Disease, and Cancer","volume":"41","author":"Katzmarzyk","year":"2009","journal-title":"Med. 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