Enabling Gesture Interaction with 3D Point Cloud

Cook, H; Nguyen, Q; Simoff, S; Huang, M

Enabling Gesture Interaction with 3D Point Cloud

Cook, H Nguyen, Q Simoff, S Huang, M

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Publisher:: Computer Science Research Notes CSRN 2602
Publication Type:: Conference Proceeding
Citation:: Proceedings of the 24th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, 2016, pp. 59 - 68 (10)
Issue Date:: 2016-06-30

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Field	Value	Language
dc.contributor.author	Cook, H	en_US
dc.contributor.author	Nguyen, Q	en_US
dc.contributor.author	Simoff, S	en_US
dc.contributor.author	Huang, M https://orcid.org/0000-0002-6896-6480	en_US
dc.contributor.editor	Skala, V	en_US
dc.date	2016-05-30	en_US
dc.date.issued	2016-06-30	en_US
dc.identifier.citation	Proceedings of the 24th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, 2016, pp. 59 - 68 (10)	en_US
dc.identifier.issn	2464-4617	en_US
dc.identifier.uri	http://hdl.handle.net/10453/45407
dc.description.abstract	This paper presents a novel 3D point cloud gesture recognition system, based on an existing low-cost, accurate and easy to implement 2D point cloud gesture recognition system called $P. Our work improves recognition rates and lowers algorithmic complexity. We develop new 3D gestures, such as the GUN gesture and the SHAKE gesture, while also developing 3D poses like the L pose, OK pose, ROCK pose and PEACE pose for the LeapMotion Device. We demonstrate proposed gesture and pose methods on various 3D environments including a Monsoon mini-game, a cave painting interaction and a target practice scene. The average recognition rates for 3D gestures and poses were compared against the 2D, 3D and 3D+ recognition systems. The results indicate that most gestures in the proposed system were improved in comparison to the existing ones.	en_US
dc.publisher	Computer Science Research Notes CSRN 2602	en_US
dc.relation.ispartof	Proceedings of the 24th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision	en_US
dc.relation.ispartof	International Conferences in Central Europe on Computer Graphics, Visualization and Computer Vision	en_US
dc.title	Enabling Gesture Interaction with 3D Point Cloud	en_US
dc.type	Conference Proceeding
utslib.location.activity	Plzen, Czech Republic	en_US
utslib.for	080605 Decision Support and Group Support Systems	en_US
utslib.for	080499 Data Format not elsewhere classified	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 Computer Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Software
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
utslib.copyright.status	open_access
pubs.consider-herdc	true	en_US
pubs.finish-date	2016-06-03	en_US
pubs.publication-status	Published	en_US
pubs.start-date	2016-05-30	en_US

Abstract:

This paper presents a novel 3D point cloud gesture recognition system, based on an existing low-cost, accurate and easy to implement 2D point cloud gesture recognition system called $P. Our work improves recognition rates and lowers algorithmic complexity. We develop new 3D gestures, such as the GUN gesture and the SHAKE gesture, while also developing 3D poses like the L pose, OK pose, ROCK pose and PEACE pose for the LeapMotion Device. We demonstrate proposed gesture and pose methods on various 3D environments including a Monsoon mini-game, a cave painting interaction and a target practice scene. The average recognition rates for 3D gestures and poses were compared against the 2D, 3D and 3D+ recognition systems. The results indicate that most gestures in the proposed system were improved in comparison to the existing ones.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/45407