{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T01:52:05Z","timestamp":1777513925848,"version":"3.51.4"},"reference-count":85,"publisher":"Wiley","license":[{"start":{"date-parts":[[2022,1,17]],"date-time":"2022-01-17T00:00:00Z","timestamp":1642377600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003130","name":"Fonds Wetenschappelijk Onderzoek","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003130","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Sensors"],"published-print":{"date-parts":[[2022,1,17]]},"abstract":"<jats:p>Due to the ever growing population of elderly people, there is a dramatic increase in fall accidents. Currently, multiple ideas exist to prevent the elderly from falling, by means of technology or individualised fall prevention training programs. Most of them are costly, difficult to implement or less used by the elderly, and they do not deliver the required results. Furthermore, the increasingly older population will also impact the workload of the medical and nursing personnel. Therefore, we propose a novel fall detection and warning system for nursing homes, relying on Bluetooth Low Energy wireless communication. This paper describes the hardware design of a fall-acceleration sensing wearable for the elderly. Moreover, the paper also focuses on a novel algorithm for real-time filtering of the measurement data as well as on a strategy to confirm the detected fall events, based on changes in the person\u2019s orientation. In addition, we compare the performance of the algorithm to a machine learning procedure using a convolutional neural network. Finally, the proposed filtering technique is validated via measurements and simulation. The results show that the proposed algorithm as well as the convolutional neural network both results in an excellent accuracy when validating on a common database.<\/jats:p>","DOI":"10.1155\/2022\/9930681","type":"journal-article","created":{"date-parts":[[2022,1,17]],"date-time":"2022-01-17T18:50:37Z","timestamp":1642445437000},"page":"1-14","source":"Crossref","is-referenced-by-count":20,"title":["Bluetooth-Low-Energy-Based Fall Detection and Warning System for Elderly People in Nursing Homes"],"prefix":"10.1155","volume":"2022","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7720-316X","authenticated-orcid":true,"given":"Nick","family":"De Raeve","sequence":"first","affiliation":[{"name":"IDLab, Department of Information Technology, Ghent University-imec, Technologiepark-Zwijnaarde 126, 9052 Ghent, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1943-6261","authenticated-orcid":true,"given":"Adnan","family":"Shahid","sequence":"additional","affiliation":[{"name":"IDLab, Department of Information Technology, Ghent University-imec, Technologiepark-Zwijnaarde 126, 9052 Ghent, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2727-6109","authenticated-orcid":true,"given":"Matthias","family":"de Schepper","sequence":"additional","affiliation":[{"name":"IDLab, Department of Information Technology, Ghent University-imec, Technologiepark-Zwijnaarde 126, 9052 Ghent, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0214-5751","authenticated-orcid":true,"given":"Eli","family":"De Poorter","sequence":"additional","affiliation":[{"name":"IDLab, Department of Information Technology, Ghent University-imec, Technologiepark-Zwijnaarde 126, 9052 Ghent, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2377-3674","authenticated-orcid":true,"given":"Ingrid","family":"Moerman","sequence":"additional","affiliation":[{"name":"IDLab, Department of Information Technology, Ghent University-imec, Technologiepark-Zwijnaarde 126, 9052 Ghent, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4003-0098","authenticated-orcid":true,"given":"Jo","family":"Verhaevert","sequence":"additional","affiliation":[{"name":"IDLab, Department of Information Technology, Ghent University-imec, Technologiepark-Zwijnaarde 126, 9052 Ghent, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0633-0815","authenticated-orcid":true,"given":"Patrick","family":"Van Torre","sequence":"additional","affiliation":[{"name":"IDLab, Department of Information Technology, Ghent University-imec, Technologiepark-Zwijnaarde 126, 9052 Ghent, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8139-2736","authenticated-orcid":true,"given":"Hendrik","family":"Rogier","sequence":"additional","affiliation":[{"name":"IDLab, Department of Information Technology, Ghent University-imec, Technologiepark-Zwijnaarde 126, 9052 Ghent, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","article-title":"Number of people over 60 years set to double by 2050; major societal changes required","author":"World Health Organization"},{"key":"2","unstructured":"World Health OrganizationWorld 397 health organization global report on falls prevention in older age 2007January 2022, https:\/\/extranet.who.int\/agefriendlyworld\/wp-content\/uploads\/2014\/06\/WHo-Global-report-on-falls-prevention-in-older-age.pdf"},{"key":"3","article-title":"Falls prevention in older age","author":"World Health Organization"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1111\/j.1532-5415.2005.53425.x"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.2147\/CIA.S191832"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1111\/jgs.15304"},{"key":"7","volume-title":"Bluetooth Core Specification v5.1","author":"M. 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