{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,16]],"date-time":"2025-10-16T10:09:04Z","timestamp":1760609344674,"version":"build-2065373602"},"reference-count":62,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2021,2,26]],"date-time":"2021-02-26T00:00:00Z","timestamp":1614297600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J. Imaging"],"abstract":"<jats:p>The majority of the senior population lives alone at home. Falls can cause serious injuries, such as fractures or head injuries. These injuries can be an obstacle for a person to move around and normally practice his daily activities. Some of these injuries can lead to a risk of death if not handled urgently. In this paper, we propose a fall detection system for elderly people based on their postures. The postures are recognized from the human silhouette which is an advantage to preserve the privacy of the elderly. The effectiveness of our approach is demonstrated on two well-known datasets for human posture classification and three public datasets for fall detection, using a Support-Vector Machine (SVM) classifier. The experimental results show that our method can not only achieves a high fall detection rate but also a low false detection.<\/jats:p>","DOI":"10.3390\/jimaging7030042","type":"journal-article","created":{"date-parts":[[2021,2,26]],"date-time":"2021-02-26T06:47:20Z","timestamp":1614322040000},"page":"42","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":24,"title":["Fall Detection System-Based Posture-Recognition for Indoor Environments"],"prefix":"10.3390","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8877-0648","authenticated-orcid":false,"given":"Abderrazak","family":"Iazzi","sequence":"first","affiliation":[{"name":"LRIT, Raba IT Center, Faculty of Sciences, Mohammed V University in Rabat, Rabat B.P. 1014, Morocco"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohammed","family":"Rziza","sequence":"additional","affiliation":[{"name":"LRIT, Raba IT Center, Faculty of Sciences, Mohammed V University in Rabat, Rabat B.P. 1014, Morocco"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rachid","family":"Oulad Haj Thami","sequence":"additional","affiliation":[{"name":"ADMIR LAB, IRDA, Rabat IT Center, ENSIAS, Mohammed V University in Rabat, Rabat B.P. 1014, Morocco"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,2,26]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"993","DOI":"10.15585\/mmwr.mm6537a2","article-title":"Falls and Fall Injuries Among Adults Aged more than 65 Years \u2014 United States, 2014","volume":"65","author":"Bergen","year":"2016","journal-title":"Morb. 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