A skeleton-free fall detection system from depth images using random decision forest Abobakr, Ahmed, Hossny, Mohammed and Nahavandi, Saeid 2018, A skeleton-free fall detection system from depth images using random decision forest, IEEE systems journal, vol. 12, no. 3, pp. 2994-3005, doi: 10.1109/JSYST.2017.2780260. Attached Files Name Description MIMEType Size Downloads Title A skeleton-free fall detection system from depth images using random decision forest Author(s) Abobakr, Ahmed orcid.org/0000-0002-6664-2335 Hossny, Mohammed orcid.org/0000-0002-1593-6296 Nahavandi, Saeid orcid.org/0000-0002-0360-5270 Journal name IEEE systems journal Volume number 12 Issue number 3 Start page 2994 End page 3005 Total pages 12 Publisher Institute of Electrical and Electroncs Engineers Place of publication Piscataway, N.J. Publication date 2018-09 ISSN 1932-8184 1937-9234 Keyword(s) Decision forest fall detection posture recognition RGB-D skeleton-free support vector machine (SVM) Science & Technology Technology Computer Science, Information Systems Engineering, Electrical & Electronic Operations Research & Management Science Telecommunications Computer Science Engineering OLDER-PEOPLE RISK-FACTORS RECOGNITION TRACKING Language eng DOI 10.1109/JSYST.2017.2780260 Indigenous content off HERDC Research category C1 Refereed article in a scholarly journal Copyright notice ©2017, IEEE Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30110982 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment Institute for Intelligent Systems Research and Innovation (IISRI) Open Access Collection Related Links Link Description Link to full-text (open access)   Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Thu, 12 Jul 2018, 09:58:09 EST Fri, 13 Jul 2018, 05:01:44 EST Fri, 13 Jul 2018, 06:05:07 EST Sat, 15 Sep 2018, 02:30:22 EST Tue, 27 Nov 2018, 14:39:59 EST Tue, 27 Nov 2018, 14:41:05 EST Tue, 27 Nov 2018, 14:43:57 EST Tue, 27 Nov 2018, 14:44:34 EST Thu, 19 Sep 2019, 06:01:33 EST Thu, 26 Sep 2019, 14:42:29 EST Thu, 26 Sep 2019, 14:43:09 EST Wed, 23 Sep 2020, 00:35:21 EST Filtered Full Citation counts:   Cited 10 times in TR Web of Science Cited 23 times in Scopus Search Google Scholar Access Statistics: 161 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Thu, 12 Jul 2018, 09:58:09 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.