Virtual reality technology
“Virtual fixtures”: perceptual overlays enhance operator performance in telepresence tasks
“Virtual fixtures”: perceptual overlays enhance operator performance in telepresence tasks
Force and touch feedback for virtual reality
Force and touch feedback for virtual reality
Integration of the Rutgers Master II in a virtual reality simulation
VRAIS '95 Proceedings of the Virtual Reality Annual International Symposium (VRAIS'95)
A Horse Ovary Palpation Simulator for Veterinary Training
Proceedings of the First International Workshop on Haptic Human-Computer Interaction
EGVE '03 Proceedings of the workshop on Virtual environments 2003
Presence: Teleoperators and Virtual Environments
Generic Control Interface for Networked Haptic Virtual Environments
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part II
Sensing, Acquisition, and Interactive Playback of Data-based Models for Elastic Deformable Objects
International Journal of Robotics Research
VR-based simulation for the learning of gynaecological examination
ICAT'06 Proceedings of the 16th international conference on Advances in Artificial Reality and Tele-Existence
Using haptics to improve immersion in virtual environments
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part II
Intelligent assessment based on Beta Regression for realistic training on medical simulators
Knowledge-Based Systems
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In the area of medical education, there is a strong need for palpation training to address the specific need of detecting subsurface tumors. A virtual reality training simulation was created to address this need. Utilizing the Rutgers Master II force feedback system, the simulation allows the user to perform a patient examination and palpate (touch) the patient's virtual liver to search for hard regions beneath the surface. When the user's fingertips pass over a ``tumor,'' experimentally determined force/deflection curves are used to give the user the feeling of an object beneath the surface. A graphical user interface was developed to facilitate navigation as well as provide a training quiz. The trainee is asked to identify the location and relative hardness of tumors, and performance is evaluated in terms of positional and diagnosis errors.