A modular system for canine augmentation

Smith, Daniel and Chan, Ka Ching ORCID: https://orcid.org/0000-0002-8756-2991 (2016) A modular system for canine augmentation. In: 11th International Conference on Information Technology and Applications (ICITA 2016), 1-4 July 2016, Sydney, Australia.


Abstract

Working dogs are invaluable in situations ranging from urban search and rescue to invalid care. However, they can only provide limited information to the humans working with them, and must remain close to their handlers for effective operation. Augmenting dogs with wearable sensors and wireless communications equipment improves their ability to work with humans and operate remotely, creating a more effective and capable team. This paper describes the development of a modular system of wearable technology for augmenting canines, providing a foundation for future research in this area.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Faculty/School / Institute/Centre: Historic - Faculty of Business, Education, Law and Arts - School of Management and Enterprise (1 Jul 2013 - 17 Jan 2021)
Faculty/School / Institute/Centre: Historic - Faculty of Business, Education, Law and Arts - School of Management and Enterprise (1 Jul 2013 - 17 Jan 2021)
Date Deposited: 14 May 2018 02:57
Last Modified: 01 Jun 2021 03:48
Uncontrolled Keywords: CAT, augmentation, wearable
Fields of Research (2008): 08 Information and Computing Sciences > 0805 Distributed Computing > 080502 Mobile Technologies
09 Engineering > 0915 Interdisciplinary Engineering > 091599 Interdisciplinary Engineering not elsewhere classified
Fields of Research (2020): 46 INFORMATION AND COMPUTING SCIENCES > 4606 Distributed computing and systems software > 460608 Mobile computing
40 ENGINEERING > 4010 Engineering practice and education > 401006 Systems engineering
Socio-Economic Objectives (2008): E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
URI: http://eprints.usq.edu.au/id/eprint/34028

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