{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,27]],"date-time":"2026-09-27T18:19:33Z","timestamp":1790533173875,"version":"4.1.0"},"reference-count":34,"publisher":"American Physiological Society","issue":"6","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Applied Physiology"],"published-print":{"date-parts":[[2015,3,15]]},"abstract":"<jats:p> \u201cObjective\u201d methods to monitor physical activity and sedentary patterns in free-living conditions are necessary to further our understanding of their impacts on health. In recent years, many software solutions capable of automatically identifying activity types from portable accelerometry data have been developed, with promising results in controlled conditions, but virtually no reports on field tests. An automatic classification algorithm initially developed using laboratory-acquired data (59 subjects engaging in a set of 24 standardized activities) to discriminate between 8 activity classes (lying, slouching, sitting, standing, walking, running, and cycling) was applied to data collected in the field. Twenty volunteers equipped with a hip-worn triaxial accelerometer performed at their own pace an activity set that included, among others, activities such as walking the streets, running, cycling, and taking the bus. Performances of the laboratory-calibrated classification algorithm were compared with those of an alternative version of the same model including field-collected data in the learning set. Despite good results in laboratory conditions, the performances of the laboratory-calibrated algorithm (assessed by confusion matrices) decreased for several activities when applied to free-living data. Recalibrating the algorithm with data closer to real-life conditions and from an independent group of subjects proved useful, especially for the detection of sedentary behaviors while in transports, thereby improving the detection of overall sitting (sensitivity: laboratory model = 24.9%; recalibrated model = 95.7%). Automatic identification methods should be developed using data acquired in free-living conditions rather than data from standardized laboratory activity sets only, and their limits carefully tested before they are used in field studies. <\/jats:p>","DOI":"10.1152\/japplphysiol.01189.2013","type":"journal-article","created":{"date-parts":[[2015,1,16]],"date-time":"2015-01-16T04:22:14Z","timestamp":1421382134000},"page":"716-722","source":"Crossref","is-referenced-by-count":58,"title":["Automatic identification of physical activity types and sedentary behaviors from triaxial accelerometer: laboratory-based calibrations are not enough"],"prefix":"10.1152","volume":"118","author":[{"given":"Thomas","family":"Bastian","sequence":"first","affiliation":[{"name":"CarMeN INSERM U1060, University of Lyon 1, INRA U1235, Centre de Recherche en Nutrition Humaine Rh\u00f4ne-Alpes, Centre Europ\u00e9en pour la Nutrition &amp; la Sant\u00e9, Pierre-B\u00e9nite, France;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aur\u00e9lia","family":"Maire","sequence":"additional","affiliation":[{"name":"CarMeN INSERM U1060, University of Lyon 1, INRA U1235, Centre de Recherche en Nutrition Humaine Rh\u00f4ne-Alpes, Centre Europ\u00e9en pour la Nutrition &amp; la Sant\u00e9, Pierre-B\u00e9nite, France;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Julien","family":"Dugas","sequence":"additional","affiliation":[{"name":"CarMeN INSERM U1060, University of Lyon 1, INRA U1235, Centre de Recherche en Nutrition Humaine Rh\u00f4ne-Alpes, Centre Europ\u00e9en pour la Nutrition &amp; la Sant\u00e9, Pierre-B\u00e9nite, France;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Abbas","family":"Ataya","sequence":"additional","affiliation":[{"name":"University of Grenoble Alpes, Grenoble, France;"},{"name":"Commissariat \u00e0 l'\u00c9nergie Atomique, Leti, D\u00e9partement Microtechnologies pour la Biologie et la Sant\u00e9, Laboratoire \u00c9lectronique et Syst\u00e8mes pour la Sant\u00e9, MINATEC, Grenoble, France;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cl\u00e9ment","family":"Villars","sequence":"additional","affiliation":[{"name":"CarMeN INSERM U1060, University of Lyon 1, INRA U1235, Centre de Recherche en Nutrition Humaine Rh\u00f4ne-Alpes, Centre Europ\u00e9en pour la Nutrition &amp; la Sant\u00e9, Pierre-B\u00e9nite, France;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Florence","family":"Gris","sequence":"additional","affiliation":[{"name":"University of Grenoble Alpes, Grenoble, France;"},{"name":"Commissariat \u00e0 l'\u00c9nergie Atomique, Leti, D\u00e9partement Microtechnologies pour la Biologie et la Sant\u00e9, Laboratoire \u00c9lectronique et Syst\u00e8mes pour la Sant\u00e9, MINATEC, Grenoble, France;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Emilie","family":"Perrin","sequence":"additional","affiliation":[{"name":"Movea, Grenoble, France;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanis","family":"Caritu","sequence":"additional","affiliation":[{"name":"Movea, Grenoble, France;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maeva","family":"Doron","sequence":"additional","affiliation":[{"name":"University of Grenoble Alpes, Grenoble, France;"},{"name":"Commissariat \u00e0 l'\u00c9nergie Atomique, Leti, D\u00e9partement Microtechnologies pour la Biologie et la Sant\u00e9, Laboratoire \u00c9lectronique et Syst\u00e8mes pour la Sant\u00e9, MINATEC, Grenoble, France;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"St\u00e9phane","family":"Blanc","sequence":"additional","affiliation":[{"name":"Hubert Curien Pluridisciplinary Institute, Department of Ecology, Physiology and Ethology, University of Strasbourg, UMR CNRS 7178, Strasbourg, France; and"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pierre","family":"Jallon","sequence":"additional","affiliation":[{"name":"University of Grenoble Alpes, Grenoble, France;"},{"name":"Commissariat \u00e0 l'\u00c9nergie Atomique, Leti, D\u00e9partement Microtechnologies pour la Biologie et la Sant\u00e9, Laboratoire \u00c9lectronique et Syst\u00e8mes pour la Sant\u00e9, MINATEC, Grenoble, France;"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chantal","family":"Simon","sequence":"additional","affiliation":[{"name":"CarMeN INSERM U1060, University of Lyon 1, INRA U1235, Centre de Recherche en Nutrition Humaine Rh\u00f4ne-Alpes, Centre Europ\u00e9en pour la Nutrition &amp; la Sant\u00e9, Pierre-B\u00e9nite, France;"},{"name":"Service d'Endocrinologie, Diab\u00e8tes, Nutrition, Centre Hospitalier Lyon Sud, Pierre-B\u00e9nite, France"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"24","reference":[{"key":"B1","first-page":"954","volume-title":"Proceedings of the 20th European Signal Processing Conference (EUSIPCO)","author":"Ataya A","year":"2012"},{"key":"B2","doi-asserted-by":"publisher","DOI":"10.1249\/MSS.0b013e3181fdfc32"},{"key":"B3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-24646-6_1"},{"key":"B4","doi-asserted-by":"publisher","DOI":"10.1249\/MSS.0b013e3181a24536"},{"key":"B5","doi-asserted-by":"publisher","DOI":"10.1152\/japplphysiol.00150.2009"},{"key":"B6","doi-asserted-by":"publisher","DOI":"10.1038\/ijo.2011.99"},{"key":"B7","doi-asserted-by":"publisher","DOI":"10.1249\/MSS.0b013e3182399c0e"},{"key":"B8","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0036345"},{"key":"B9","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2013.6610579"},{"key":"B10","doi-asserted-by":"publisher","DOI":"10.1016\/j.diabres.2012.05.020"},{"key":"B11","doi-asserted-by":"publisher","DOI":"10.2337\/dc11-1931"},{"key":"B12","doi-asserted-by":"publisher","DOI":"10.1109\/TITB.2007.899496"},{"key":"B13","doi-asserted-by":"publisher","DOI":"10.1249\/MSS.0b013e3182399b7e"},{"key":"B14","doi-asserted-by":"publisher","DOI":"10.1152\/japplphysiol.00309.2011"},{"key":"B15","doi-asserted-by":"publisher","DOI":"10.1016\/j.medengphy.2014.02.012"},{"key":"B16","doi-asserted-by":"publisher","DOI":"10.3758\/BRM.40.1.328"},{"key":"B17","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2011.2160723"},{"key":"B18","doi-asserted-by":"publisher","DOI":"10.2337\/db07-0882"},{"key":"B19","doi-asserted-by":"publisher","DOI":"10.1152\/japplphysiol.00984.2012"},{"key":"B20","doi-asserted-by":"publisher","DOI":"10.1249\/MSS.0b013e3182399c7d"},{"key":"B21","doi-asserted-by":"publisher","DOI":"10.1109\/IEMBS.2010.5626363"},{"key":"B22","doi-asserted-by":"publisher","DOI":"10.1016\/j.amepre.2012.11.004"},{"key":"B23","unstructured":"Lyden K. Refinement, Validation and Application of a Machine Learning Method For Estimating Physical Activity And Sedentary Behavior in Free-Living People (PhD Dissertation). Amherst, MA: University of Massachusetts, 2012, p. 651."},{"key":"B24","doi-asserted-by":"publisher","DOI":"10.1136\/bjsm.2008.051128"},{"key":"B25","doi-asserted-by":"publisher","DOI":"10.1016\/j.gaitpost.2010.01.005"},{"key":"B26","doi-asserted-by":"publisher","DOI":"10.1136\/bjsports-2013-093107"},{"key":"B27","doi-asserted-by":"publisher","DOI":"10.1088\/0967-3334\/30\/4\/R01"},{"key":"B28","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2008.2006190"},{"key":"B29","doi-asserted-by":"publisher","DOI":"10.1097\/00005768-199807000-00008"},{"key":"B30","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btm344"},{"key":"B31","doi-asserted-by":"publisher","DOI":"10.2196\/jmir.1988"},{"key":"B32","doi-asserted-by":"publisher","DOI":"10.1249\/01.mss.0000185292.71933.91"},{"key":"B33","first-page":"125","volume-title":"Physical Activity Assessments for Health-Related Research","author":"Welk GJ","year":"2002"},{"key":"B34","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2011.2176743"}],"container-title":["Journal of Applied Physiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.physiology.org\/doi\/pdf\/10.1152\/japplphysiol.01189.2013","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,8]],"date-time":"2019-09-08T23:39:56Z","timestamp":1567985996000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.physiology.org\/doi\/10.1152\/japplphysiol.01189.2013"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,3,15]]},"references-count":34,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2015,3,15]]}},"alternative-id":["10.1152\/japplphysiol.01189.2013"],"URL":"https:\/\/doi.org\/10.1152\/japplphysiol.01189.2013","relation":{},"ISSN":["8750-7587","1522-1601"],"issn-type":[{"value":"8750-7587","type":"print"},{"value":"1522-1601","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,3,15]]}}}