Toward affective hands-free human-machine interface approach in virtual environments-based equipment operation training Rezazadeh, I, Wang, X, Wang, Rui and Firoozabadi, MD 2009, Toward affective hands-free human-machine interface approach in virtual environments-based equipment operation training, in CONVR 2009 : Proceedings of The 9th International Conference of Construction Applications of Virtual Reality, University of Sydney, Sydney, N.S.W., pp. 107-116. Title Toward affective hands-free human-machine interface approach in virtual environments-based equipment operation training Author(s) Rezazadeh, I Wang, X Wang, Rui orcid.org/0000-0002-6600-6937 Firoozabadi, MD Conference name Architecture, Engineering and Construction industry. Conference (9th : 2009 : Sydney, N.S.W.) Conference location Sydney, N.S.W. Conference dates 2009/11/05 - 2009/11/05 Title of proceedings CONVR 2009 : Proceedings of The 9th International Conference of Construction Applications of Virtual Reality Publication date 2009 Series Architecture, Engineering and Construction Industry Conference Start page 107 End page 116 Total pages 10 Publisher University of Sydney Place of publication Sydney, N.S.W. ISBN 9781742101453 Language eng HERDC Research category EN.1 Other conference paper Copyright notice ©2009, The University of Sydney, Australia Persistent URL http://hdl.handle.net/10536/DRO/DU:30087742 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Architecture and Built Environment Related Links Link Description   Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Thu, 20 Oct 2016, 10:52:40 EST Thu, 27 Oct 2016, 08:19:16 EST Thu, 27 Oct 2016, 12:09:24 EST Thu, 21 Sep 2017, 06:14:27 EST Wed, 04 Jul 2018, 15:28:41 EST Wed, 04 Jul 2018, 15:30:26 EST Wed, 04 Jul 2018, 15:31:04 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 38 Abstract Views  -  Detailed Statistics Created: Thu, 20 Oct 2016, 10:52:40 EST

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