000114552 001__ 114552
000114552 005__ 20190812205127.0
000114552 037__ $$aCONF
000114552 245__ $$aMultisensory learning cues using analytical collision detection between a needle and a tube
000114552 269__ $$a2004
000114552 260__ $$c2004
000114552 336__ $$aConference Papers
000114552 520__ $$aWe are developing a Virtual Reality based training system for micromanipulation in collaboration with the National University Hospital in Singapore. While conventional approaches judge a virtual environment by its resemblance to the real environment, we use simple environments with only selected features of the real task, and develop fast algorithms to investigate the learning of dexterity primitives using various multi-sensory cues. For the needle maneuvering primitive, this paper introduces a method using stereographic projection to compute the distance between the curved needle and a curved tube, necessary to investigate multi-sensory cues systematically. This analytical algorithm is shown to be faster by orders of magnitude than numerical ones. The computation time barely increases with increasing precision, a critical condition to simulate the microworld.
000114552 6531_ $$aVR
000114552 6531_ $$aMultisensory
000114552 6531_ $$aLearning cues
000114552 6531_ $$aCollision detection
000114552 700__ $$aWang, Fei
000114552 700__ $$aPoston, Tim
000114552 700__ $$aLim, KM
000114552 700__ $$aTeo, CL
000114552 700__ $$aBurdet, Etienne
000114552 7112_ $$cChicago, US$$aIEEE Virtual Reality, Haptics Symposium
000114552 773__ $$tProceedings of IEEE Virtual Reality, Haptics Symposium
000114552 8564_ $$zn/a$$uhttps://infoscience.epfl.ch/record/114552/files/multisensory.pdf$$s608990
000114552 909C0 $$pLSRO$$0252016
000114552 909CO $$pSTI$$ooai:infoscience.tind.io:114552$$qGLOBAL_SET$$pconf
000114552 937__ $$aLSRO-CONF-2007-024
000114552 973__ $$rREVIEWED$$sPUBLISHED$$aOTHER
000114552 980__ $$aCONF