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Transformation model of thrust-vectoring using RBF neural network

contributor authorYong Kenan , Ye Hui , Chen Mou , Wu Qingxian
date accessioned2020-03-12T23:29:37Z
date available2020-03-12T23:29:37Z
date issued2014
identifier other6895788.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1113665?show=full
formatgeneral
languageEnglish
publisherIEEE
titleTransformation model of thrust-vectoring using RBF neural network
typeConference Paper
contenttypeMetadata Only
identifier padid8282798
subject keywordsaugmented reality
subject keywordsavatars
subject keywordsuser interfaces
subject keywordsHMD
subject keywordsKinect-like camera
subject keywordsfully immersive MR system
subject keywordsfully immersive mixed reality system
subject keywordshelmet mounted device
subject keywordsintuitive interaction experience
subject keywordsphotorealistic capture
subject keywordssynthetic 3D modelled avatar
subject keywordsuser interaction
subject keywordsvirtual objects
subject keywordsvirtual scenario
subject keywordsAvatars
subject keywordsCameras
subject keywordsIndustries
subject keywordsThree-dimensional displays
subject keywordsTraining
subject keywordsVirtual environments
subject keywordsMixed Reality
subject keywordshand gestures
subject keywordsnatural interaction
identifier doi10.1109/ISMAR.2014.6948466
journal titleontrol Conference (CCC), 2014 33rd Chinese
filesize540476
citations0


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