{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,16]],"date-time":"2026-04-16T15:23:37Z","timestamp":1776353017066,"version":"3.51.2"},"reference-count":31,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2022,6,16]],"date-time":"2022-06-16T00:00:00Z","timestamp":1655337600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Safe Cities\u2014\u201cInova\u00e7\u00e3o para Construir Cidades Seguras\u201d","award":["POCI-01-0247-FEDER-041435"],"award-info":[{"award-number":["POCI-01-0247-FEDER-041435"]}]},{"name":"Safe Cities\u2014\u201cInova\u00e7\u00e3o para Construir Cidades Seguras\u201d","award":["COMPETE 2020"],"award-info":[{"award-number":["COMPETE 2020"]}]},{"name":"European Regional Development Fund (ERDF)","award":["POCI-01-0247-FEDER-041435"],"award-info":[{"award-number":["POCI-01-0247-FEDER-041435"]}]},{"name":"European Regional Development Fund (ERDF)","award":["COMPETE 2020"],"award-info":[{"award-number":["COMPETE 2020"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Requests for caring for and monitoring the health and safety of older adults are increasing nowadays and form a topic of great social interest. One of the issues that lead to serious concerns is human falls, especially among aged people. Computer vision techniques can be used to identify fall events, and Deep Learning methods can detect them with optimum accuracy. Such imaging-based solutions are a good alternative to body-worn solutions. This article proposes a novel human fall detection solution based on the Fast Pose Estimation method. The solution uses Time-Distributed Convolutional Long Short-Term Memory (TD-CNN-LSTM) and 1Dimentional Convolutional Neural Network (1D-CNN) models, to classify the data extracted from image frames, and achieved high accuracies: 98 and 97% for the 1D-CNN and TD-CNN-LSTM models, respectively. Therefore, by applying the Fast Pose Estimation method, which has not been used before for this purpose, the proposed solution is an effective contribution to accurate human fall detection, which can be deployed in edge devices due to its low computational and memory demands.<\/jats:p>","DOI":"10.3390\/s22124544","type":"journal-article","created":{"date-parts":[[2022,6,19]],"date-time":"2022-06-19T21:19:26Z","timestamp":1655673566000},"page":"4544","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":32,"title":["Using Deep Neural Networks for Human Fall Detection Based on Pose Estimation"],"prefix":"10.3390","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0844-8697","authenticated-orcid":false,"given":"Mohammadamin","family":"Salimi","sequence":"first","affiliation":[{"name":"Faculdade de Engenharia, Universidade do Porto, Rua Dr. Roberto Frias, s\/n, 4200-465 Porto, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1094-0114","authenticated-orcid":false,"given":"Jos\u00e9 J. M.","family":"Machado","sequence":"additional","affiliation":[{"name":"Departamento de Engenharia Mec\u00e2nica, Faculdade de Engenharia, Universidade do Porto, Rua Dr. Roberto Frias, s\/n, 4200-465 Porto, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7603-6526","authenticated-orcid":false,"given":"Jo\u00e3o Manuel R. S.","family":"Tavares","sequence":"additional","affiliation":[{"name":"Departamento de Engenharia Mec\u00e2nica, Faculdade de Engenharia, Universidade do Porto, Rua Dr. Roberto Frias, s\/n, 4200-465 Porto, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2022,6,16]]},"reference":[{"key":"ref_1","unstructured":"World Health Organization, World Health Organization, and Ageing, & Life Course Unit (2008). WHO Global Report on Falls Prevention in Older Age, World Health Organization."},{"key":"ref_2","first-page":"1","article-title":"Fast Human Pose Estimation in Compressed Videos","volume":"14","author":"Liu","year":"2022","journal-title":"IEEE Trans. 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