{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T11:35:48Z","timestamp":1761824148529,"version":"build-2065373602"},"reference-count":75,"publisher":"MDPI AG","issue":"18","license":[{"start":{"date-parts":[[2019,9,6]],"date-time":"2019-09-06T00:00:00Z","timestamp":1567728000000},"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>Monitoring the activity of elderly individuals in nursing homes is key, as it has been shown that physical activity leads to significant health improvement. In this work, we introduce NurseNet, a system that combines an unobtrusive, affordable, and robust piezoelectric floor sensor with a convolutional neural network algorithm, which aims at measuring elderly physical activity. Our algorithm is trained using signal embedding based on atoms of a pre-learned dictionary and focuses the network\u2019s attention on step-related signals. We show that NurseNet is able to avoid the main limitation of floor sensors by recognizing relevant signals (i.e., signals produced by patients) and ignoring events related to the medical staff, offering a new tool to monitor elderly activity in nursing homes efficiently.<\/jats:p>","DOI":"10.3390\/s19183851","type":"journal-article","created":{"date-parts":[[2019,9,9]],"date-time":"2019-09-09T03:14:41Z","timestamp":1567998881000},"page":"3851","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["NurseNet: Monitoring Elderly Levels of Activity with a Piezoelectric Floor"],"prefix":"10.3390","volume":"19","author":[{"given":"Ludovic","family":"Minvielle","sequence":"first","affiliation":[{"name":"Centre de math\u00e9matiques et de leurs applications, CNRS, ENS Paris-Saclay, Universit\u00e9 Paris-Saclay, 94230 Cachan, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Julien","family":"Audiffren","sequence":"additional","affiliation":[{"name":"Centre de math\u00e9matiques et de leurs applications, CNRS, ENS Paris-Saclay, Universit\u00e9 Paris-Saclay, 94230 Cachan, France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2019,9,6]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"M146","DOI":"10.1093\/gerona\/56.3.M146","article-title":"Frailty in older adults: Evidence for a phenotype","volume":"56","author":"Fried","year":"2001","journal-title":"J. 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