How to predict dropped motion samples in haptic impedance devices Nadjarbashi, Omid F, Najdovski, Zoran and Nahavandi, Saeid 2016, How to predict dropped motion samples in haptic impedance devices, in ICAMechS 2016 : Proceedings of the 2016 International Conference on Advanced Mechatronic Systems, Institute of Electrical and Electronics Engineers, Piscataway, N.J., pp. 459-463, doi: 10.1109/ICAMechS.2016.7813491. Attached Files Name Description MIMEType Size Downloads Title How to predict dropped motion samples in haptic impedance devices Author(s) Nadjarbashi, Omid F Najdovski, Zoran orcid.org/0000-0002-8880-8287 Nahavandi, Saeid orcid.org/0000-0002-0360-5270 Conference name IEEE Systems, Man, and Cybernetics Society. Conference (2016 : Melbourne, Vic.) Conference location Melbourne, Vic. Conference dates 2016/11/30 - 2016/12/03 Title of proceedings ICAMechS 2016 : Proceedings of the 2016 International Conference on Advanced Mechatronic Systems Editor(s) [Unknown] Publication date 2016 Series IEEE Systems, Man, and Cybernetics Society Conference Start page 459 End page 463 Total pages 5 Publisher Institute of Electrical and Electronics Engineers Place of publication Piscataway, N.J. Keyword(s) Science & Technology Technology Computer Science, Cybernetics Engineering, Electrical & Electronic Engineering, Mechanical Computer Science Engineering Haptic interfaces Force Smoothing methods Impedance Prediction algorithms Admittance Indexes ISBN 9781509053469 ISSN 2325-0682 2325-0690 Language eng DOI 10.1109/ICAMechS.2016.7813491 Indigenous content off HERDC Research category E1.1 Full written paper - refereed Persistent URL http://hdl.handle.net/10536/DRO/DU:30091574 Document type: Conference Paper Collections: Institute for Intelligent Systems Research and Innovation (IISRI) GTP Research Related Links Link Description 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. Versions Version Filter Type Wed, 01 Mar 2017, 08:52:58 EST Thu, 30 Mar 2017, 13:08:04 EST Thu, 30 Mar 2017, 13:27:59 EST Thu, 30 Mar 2017, 13:36:27 EST Sat, 13 May 2017, 02:31:44 EST Fri, 09 Feb 2018, 05:01:21 EST Wed, 07 Mar 2018, 10:32:19 EST Thu, 15 Oct 2020, 11:08:55 EST Tue, 20 Oct 2020, 09:46:10 EST Tue, 20 Oct 2020, 09:47:39 EST Tue, 20 Oct 2020, 11:36:50 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 1 times in Scopus Search Google Scholar Access Statistics: 42 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Thu, 30 Mar 2017, 13:08:04 EST

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