Data-based dynamic haptic interaction model with deformable 3D objects Abdelrahman, Wael, Farag, Sara, Nahavandi, Saeid and Creighton, Douglas 2010, Data-based dynamic haptic interaction model with deformable 3D objects, in INDIN 2010 : Proceedings of the 8th IEEE International Conference on Industrial Informatics, IEEE, Los Alamitos, Calif., pp. 314-318, doi: 10.1109/INDIN.2010.5549403. Attached Files Name Description MIMEType Size Downloads nahavandi-databaseddynamic-2010.pdf Published version application/pdf 1.01MB 63 Title Data-based dynamic haptic interaction model with deformable 3D objects Author(s) Abdelrahman, Wael Farag, Sara Nahavandi, Saeid orcid.org/0000-0002-0360-5270 Creighton, Douglas orcid.org/0000-0002-9217-1231 Conference name IEEE International Conference on Industrial Informatics (8th : 2010 : Osaka, Japan) Conference location Osaka, Japan Conference dates 13-16 Jul. 2010 Title of proceedings INDIN 2010 : Proceedings of the 8th IEEE International Conference on Industrial Informatics Editor(s) [Unknown] Publication date 2010 Conference series International Conference on Industrial Informatics Start page 314 End page 318 Total pages 5 Publisher IEEE Place of publication Los Alamitos, Calif. Summary The data-based modeling of the haptic interaction simulation is a growing trend in research. These techniques offer a quick alternative to parametric modeling of the simulation. So far, most of the use of the data-based techniques was applied to static simulations. This paper introduces how to use data-based model in dynamic simulations. This ensures realistic behavior and produce results that are very close to parametric modeling. The results show that a quick and accurate response can be achieved using the proposed methods. ISBN 1424472989 9781424472987 Language eng DOI 10.1109/INDIN.2010.5549403 Field of Research 080110 Simulation and Modelling Socio Economic Objective 970109 Expanding Knowledge in Engineering HERDC Research category E1 Full written paper - refereed Copyright notice ©2010, IEEE Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30031427 Document type: Conference Paper Collections: Institute for Intelligent Systems Research and Innovation (IISRI) Open Access Collection GTP Research Related Links Link Description Connect to published version Go to link with your DU access privileges   Connect to published version 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. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Thu, 02 Dec 2010, 15:57:32 EST Thu, 02 Dec 2010, 15:58:50 EST Thu, 02 Dec 2010, 16:32:46 EST Tue, 07 Dec 2010, 07:14:29 EST Tue, 07 Dec 2010, 08:31:46 EST Tue, 07 Dec 2010, 08:33:20 EST Fri, 16 Mar 2012, 18:23:10 EST Mon, 19 Aug 2013, 11:20:08 EST Wed, 02 Jul 2014, 15:12:24 EST Tue, 12 Aug 2014, 08:55:03 EST Fri, 06 Feb 2015, 10:39:48 EST Fri, 09 Oct 2015, 17:06:40 EST Mon, 12 Oct 2015, 15:01:31 EST Tue, 06 Sep 2016, 16:09:25 EST Tue, 05 Dec 2017, 10:45:02 EST Fri, 07 Sep 2018, 15:10:40 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 6 times in Scopus Search Google Scholar Access Statistics: 941 Abstract Views, 68 File Downloads  -  Detailed Statistics Created: Thu, 02 Dec 2010, 15:57:26 EST by Sandra Dunoon

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.