Pseudo-Haptic Feedback: Can Isometric Input Devices Simulate Force Feedback?
VR '00 Proceedings of the IEEE Virtual Reality 2000 Conference
inTouch: Interactive Multiresolution Modeling and 3D Painting with a Haptic Interface
VR '00 Proceedings of the IEEE Virtual Reality 2000 Conference
Realistic Haptic Rendering for Highly Deformable Virtual Objects
VR '01 Proceedings of the Virtual Reality 2001 Conference (VR'01)
Deformable tissue parameterized by properties of real biological tissue
IS4TM'03 Proceedings of the 2003 international conference on Surgery simulation and soft tissue modeling
A physically-based framework for real-time haptic cutting and interaction with 3D continuum models
Proceedings of the 2007 ACM symposium on Solid and physical modeling
Incorporating haptic feedback for the simulation of a deformable tool in a rigid scene
Computers and Graphics
A 4-layer flexible virtual hand model for haptic interaction
VECIMS'09 Proceedings of the 2009 IEEE international conference on Virtual Environments, Human-Computer Interfaces and Measurement Systems
A framework for virtual hand haptic interaction
Transactions on edutainment IV
UM'05 Proceedings of the 10th international conference on User Modeling
Haptic interaction system for co-evolution with reactive virtual human
Edutainment'06 Proceedings of the First international conference on Technologies for E-Learning and Digital Entertainment
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The present paper describes the integration of a multi-finger haptic device with deformable objects in an interactive environment. Repulsive forces are synthesized and rendered independently for each finger of a user wearing a Cybergrasp force-feedback glove. Deformation and contact models are based on mass-spring systems, and the issue of the user independence is dealt with through a geometric calibration phase. Motivated by the knowledge that human hand plays a very important role in the somatosensory system, we focused on the potential of the Cybergrasp device to improve perception in Virtual Reality worlds. We especially explored whether it is possible to distinguish objects with different elasticities. Results of performance and perception tests are encouraging despite current technical and computational limitations.