{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T16:02:24Z","timestamp":1777910544095,"version":"3.51.4"},"reference-count":21,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[2019,10,31]],"date-time":"2019-10-31T00:00:00Z","timestamp":1572480000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/501100006041","name":"Innovate UK","doi-asserted-by":"publisher","award":["KTP009841"],"award-info":[{"award-number":["KTP009841"]}],"id":[{"id":"10.13039\/501100006041","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Transactions of the Institute of Measurement and Control"],"published-print":{"date-parts":[[2020,2]]},"abstract":"<jats:p>Falling is a major cause of serious injury or even death for the elderly population. To improve the safety of elderly people, a wide range of wearable fall detection devices have been developed over recent years, such as smart watches, waistbands and other wearable fall detectors. However, most of these fall detection devices are threshold-based and have a high rate of false alarm. This paper presents a novel fuzzy logic fall detection algorithm used in smart wristbands to reduce false alarms and achieve accurate fall detection. Experiments have been conducted in our laboratory and the results show that the proposed algorithm can accurately distinguish fall events from non-fall daily activities such as walking, jumping, clapping, and so forth. It shows good potential for commercial applications.<\/jats:p>","DOI":"10.1177\/0142331219881578","type":"journal-article","created":{"date-parts":[[2019,10,31]],"date-time":"2019-10-31T04:42:22Z","timestamp":1572496942000},"page":"786-794","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":9,"title":["A novel fuzzy logic algorithm for accurate fall detection of smart wristband"],"prefix":"10.1177","volume":"42","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8447-5534","authenticated-orcid":false,"given":"Hongtao","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Computer Science and Electronic Engineering, Essex University, UK"},{"name":"August International Ltd, Hoddesdon, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Muhannand","family":"Alrifaai","sequence":"additional","affiliation":[{"name":"School of Computer Science and Electronic Engineering, Essex University, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Keming","family":"Zhou","sequence":"additional","affiliation":[{"name":"August International Ltd, Hoddesdon, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huosheng","family":"Hu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Electronic Engineering, Essex University, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2019,10,31]]},"reference":[{"key":"bibr1-0142331219881578","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2010.2070807"},{"key":"bibr2-0142331219881578","doi-asserted-by":"publisher","DOI":"10.3390\/s17071513"},{"key":"bibr3-0142331219881578","doi-asserted-by":"publisher","DOI":"10.1080\/10739149.2016.1268155"},{"key":"bibr4-0142331219881578","doi-asserted-by":"publisher","DOI":"10.1109\/ISWC.2003.1241410"},{"key":"bibr5-0142331219881578","doi-asserted-by":"publisher","DOI":"10.3390\/s141019806"},{"key":"bibr6-0142331219881578","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2018.04.009"},{"key":"bibr7-0142331219881578","doi-asserted-by":"publisher","DOI":"10.3390\/s16060800"},{"key":"bibr8-0142331219881578","doi-asserted-by":"publisher","DOI":"10.1056\/NEJM199606273342606"},{"key":"bibr9-0142331219881578","doi-asserted-by":"publisher","DOI":"10.1109\/ICIET.2010.5625702"},{"key":"bibr10-0142331219881578","doi-asserted-by":"crossref","unstructured":"Hsieh S-L, Chen C-C, Wu S-H, et al. (2014) A wrist -worn fall detection system using accelerometers and gyroscopes. In: Proceedings of the 11th IEEE International Conference on Networking, Sensing and Control, Miami, FL, USA, 7\u20139 April 2014, pp. 518\u2013523. IEEE.","DOI":"10.1109\/ICNSC.2014.6819680"},{"key":"bibr11-0142331219881578","doi-asserted-by":"publisher","DOI":"10.1186\/1475-925X-12-66"},{"key":"bibr12-0142331219881578","doi-asserted-by":"publisher","DOI":"10.1016\/j.gaitpost.2008.01.003"},{"key":"bibr13-0142331219881578","doi-asserted-by":"publisher","DOI":"10.1109\/UKRCON.2017.8100491"},{"key":"bibr14-0142331219881578","doi-asserted-by":"publisher","DOI":"10.1109\/IEMBS.1991.684830"},{"key":"bibr15-0142331219881578","doi-asserted-by":"publisher","DOI":"10.1006\/ijhc.1973.0303"},{"key":"bibr16-0142331219881578","doi-asserted-by":"crossref","unstructured":"Noury N, Fleury A, Rumeau P, et al. (2007) Fall detection-principles and methods. 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