Modelling gesture recognition systems

Chaczko, Z; Alenazy, W

Modelling gesture recognition systems

Chaczko, Z

Alenazy, W

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Publication Type:: Conference Proceeding
Citation:: Proceedings of the 26th International Business Information Management Association Conference - Innovation Management and Sustainable Economic Competitive Advantage: From Regional Development to Global Growth, IBIMA 2015, 2015, pp. 365 - 374
Issue Date:: 2015-01-01

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Field	Value	Language
dc.contributor.author	Chaczko, Z https://orcid.org/0000-0002-2816-7510	en_US
dc.contributor.author	Alenazy, W	en_US
dc.date.issued	2015-01-01	en_US
dc.identifier.citation	Proceedings of the 26th International Business Information Management Association Conference - Innovation Management and Sustainable Economic Competitive Advantage: From Regional Development to Global Growth, IBIMA 2015, 2015, pp. 365 - 374	en_US
dc.identifier.isbn	9780986041952	en_US
dc.identifier.uri	http://hdl.handle.net/10453/44070
dc.description.abstract	Gesture recognition technologies have recently become available to a general consumer market. The most notable of these technologies rely on camera to support gesture recognition using multiple sensors that allow for standard color pictures, infrared pictures and depth sensing. These capabilities allow for variety of applications, including a body's skeleton or hand recognition. The recognition features allow for a multiple type input control. They allow an actor, who is in front of the camera, to apply different hand gestures, or body movements as the controls for an application or game that is running on the system the camera is plugged into. This paper discusses modelling and simulation of gesture recognition technologies.	en_US
dc.relation.ispartof	Proceedings of the 26th International Business Information Management Association Conference - Innovation Management and Sustainable Economic Competitive Advantage: From Regional Development to Global Growth, IBIMA 2015	en_US
dc.title	Modelling gesture recognition systems	en_US
dc.type	Conference Proceeding
utslib.for	0805 Distributed Computing	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US

Abstract:

Gesture recognition technologies have recently become available to a general consumer market. The most notable of these technologies rely on camera to support gesture recognition using multiple sensors that allow for standard color pictures, infrared pictures and depth sensing. These capabilities allow for variety of applications, including a body's skeleton or hand recognition. The recognition features allow for a multiple type input control. They allow an actor, who is in front of the camera, to apply different hand gestures, or body movements as the controls for an application or game that is running on the system the camera is plugged into. This paper discusses modelling and simulation of gesture recognition technologies.

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http://hdl.handle.net/10453/44070