Please use this identifier to cite or link to this item: https://doi.org/10.1109/HAPTIC.2004.1287218
Title: Multisensory learning cues using analytical collision detection between a needle and a tube
Authors: Wang, F.
Poston, T.
Teo, C.L. 
Lim, K.M. 
Burdet, E. 
Issue Date: 2004
Source: Wang, F., Poston, T., Teo, C.L., Lim, K.M., Burdet, E. (2004). Multisensory learning cues using analytical collision detection between a needle and a tube. Proceedings - 12th International Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems, HAPTICS : 339-346. ScholarBank@NUS Repository. https://doi.org/10.1109/HAPTIC.2004.1287218
Abstract: We 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.
Source Title: Proceedings - 12th International Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems, HAPTICS
URI: http://scholarbank.nus.edu.sg/handle/10635/73658
ISBN: 0769521126
DOI: 10.1109/HAPTIC.2004.1287218
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

2
checked on Dec 14, 2017

WEB OF SCIENCETM
Citations

2
checked on Nov 19, 2017

Page view(s)

18
checked on Dec 10, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.