SIGGRAPH '90 Proceedings of the 17th annual conference on Computer graphics and interactive techniques
Project GROPEHaptic displays for scientific visualization
SIGGRAPH '90 Proceedings of the 17th annual conference on Computer graphics and interactive techniques
A multi-sensor approach for grasping and 3D interaction
Computer graphics
A study of virtual manipulation of elastic objects
Computer graphics
Evaluation of the CyberGlove as a whole-hand input device
ACM Transactions on Computer-Human Interaction (TOCHI)
Force and touch feedback for virtual reality
Force and touch feedback for virtual reality
Vibrotactile feedback in delicate virtual reality operations
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Virtual Chopsticks: Object Manipulation using Multiple Exact Interactions
VR '99 Proceedings of the IEEE Virtual Reality
Dynamic Deformable Models for Enhanced Haptic Rendering in Virtual Environments
VR '00 Proceedings of the IEEE Virtual Reality 2000 Conference
Passive Force Display Using ER Brakes and its Control Experiments
VR '01 Proceedings of the Virtual Reality 2001 Conference (VR'01)
VR '01 Proceedings of the Virtual Reality 2001 Conference (VR'01)
Integration of the Rutgers Master II in a virtual reality simulation
VRAIS '95 Proceedings of the Virtual Reality Annual International Symposium (VRAIS'95)
Food Simulator: A Haptic Interface for Biting
VR '04 Proceedings of the IEEE Virtual Reality 2004
Haptic Representation of Elastic Objects
Presence: Teleoperators and Virtual Environments
Hi-index | 0.00 |
This paper proposes a virtual chopsticks system using force feedback and object deformation with FEM (finite element model). The force feedback model is established by using a leverage based on the correct chopsticks handling manner, and the force is applied to the index and middle finger. The object deformation is obtained in real-time by calculating inverse stiffness matrix beforehand. We performed experiments to compare the hardness of virtual objects. As a result, we found that a recognition rate of almost 100% can be achieved between virtual objects where the logarithmic difference in hardness is 0.4 or more, while lower recognition rates are obtained when the difference in hardness is smaller than this.