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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.

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Title Safety applications using Kinect technology
Author(s) Haggag,HM
Hossny,MORCID iD for Hossny,M orcid.org/0000-0002-1593-6296
Haggag,S
Nahavandi,S
Creighton,D
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
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