Safety applications using Kinect technology Haggag,HM, Hossny,M, Haggag,S, Nahavandi,S and Creighton,D 2014, Safety applications using Kinect technology, in SMC 2014 : Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, IEEE, Piscataway, NJ, pp. 2164-2169. Attached Files Name Description MIMEType Size Downloads Title Safety applications using Kinect technology Author(s) Haggag,HM Hossny,M orcid.org/0000-0002-1593-6296 Haggag,S Nahavandi,S Creighton,D orcid.org/0000-0002-9217-1231 Conference name Systems, Man, and Cybernetics. Conference (2014 : San Diego, California) Conference location San Diego, California Conference dates 2014/10/5 - 2014/10/8 Title of proceedings SMC 2014 : Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics Editor(s) [Unknown] Publication date 2014 Conference series Systems, Man, and Cybernetics Conference Start page 2164 End page 2169 Total pages 6 Publisher IEEE Place of publication Piscataway, NJ Summary  Microsoft Kinect sensor was introduced with the XBOX gaming console. It features a simple and portable motion capturing system. Kinect nowadays presents a point of interest in many fields of study and areas of research where its affordable price compared to its capabilities. The Kinect sensor has the capability to capture and track detected 3D objects with accuracy comparable to that captured by state of the art commercial systems. Human safety is considered one of the highest concerns, specially nowadays where the existence of machines and robots is widely used. In this paper we present using the Kinect technology for enhancing the safety of equipment and operations in seven different applications. These applications include 1) positioning of child’s car seat to optimise the child’s position in respected to front and side air-bags; 2) board positioning system to improve the teacher’s arm reach posture; 3) gas station safety to prevent children from accessing the gas pump; 4) indoor pool safety to avoid children access to deep pool area; 5) robot safety emergency stop; 6) Workplace safety; and 7) older adults fall prediction. ISBN 9781479938391 Language eng Field of Research 080104 Computer Vision Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences HERDC Research category E1 Full written paper - refereed ERA Research output type E Conference publication Copyright notice ©2014, IEEE Persistent URL http://hdl.handle.net/10536/DRO/DU:30072457 Document type: Conference Paper Collection: Centre for Intelligent Systems Research Related Links Link Description Connect to Elements publication management system Go to link with your DU access privileges   Publisher URL 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. Versions Version Filter Type Fri, 17 Apr 2015, 16:39:01 EST Fri, 17 Apr 2015, 16:39:43 EST Sat, 18 Apr 2015, 05:06:10 EST Sat, 18 Apr 2015, 06:30:24 EST Mon, 20 Apr 2015, 09:37:17 EST Mon, 20 Apr 2015, 09:39:01 EST Wed, 27 May 2015, 14:43:31 EST Mon, 12 Oct 2015, 16:03:55 EST Mon, 18 Jul 2016, 15:35:34 EST Filtered Full Citation counts:   Cited 6 times in TR Web of Science Cited 8 times in Scopus Search Google Scholar Access Statistics: 174 Abstract Views, 4 File Downloads  -  Detailed Statistics Created: Fri, 17 Apr 2015, 16:39:43 EST

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