A FUZZY LOGIC BASED ASSESSMENT TOOL FOR VR SIMULATED MEDICAL ENVIRONMENTS

 Virtual Reality (VR) systems allows the design of interactive and immersive environments for the simulation of a wide range of situations. These features has been exploited to build realistic applications in order to provide study and training in several areas, particularly in medicine. In this sense, the addition of techniques to assess the actions of users can provide simulations based on virtual reality more efficient for medical training, especially by helping the measure of users' skills after the execution of procedures in such virtual environments. This work details the implementation and integration of an assessment module based on fuzzy logic to a framework for development of virtual reality applications for medical training. Tests to measure the performance of the assessment module were designed over a gynecological examination simulator based on VR. Index Terms  fuzzy logic, medical simulation, skill assessment, virtual reality

[1]  Albert A. Rizzo,et al.  Immersidata Analysis: Four Case Studies , 2007, Computer.

[2]  T. Krummel Surgical simulation and virtual reality: the coming revolution. , 1998, Annals of surgery.

[3]  Liliane dos Santos Machado,et al.  ONLINE TRAINING EVALUATION IN VIRTUAL REALITY SIMULATORS USING POSSIBILISTIC NETWORKS , 2009 .

[4]  Daniel F. L. Souza,et al.  A Framework for Development of Virtual Reality-Based Training Simulators , 2009, MMVR.

[5]  Christopher J. Martin,et al.  Virtual reality simulators: Current status in acquisition and assessment of surgical skills , 2002, ANZ journal of surgery.

[6]  Philippe Coiffet,et al.  Virtual Reality Technology , 2003, Presence: Teleoperators & Virtual Environments.

[7]  Susumu Tachi,et al.  VR Reborn , 1998, IEEE Computer Graphics and Applications.

[8]  R.M. de Moraes,et al.  Hidden Markov Models For Learning Evaluation In Virtual-Reality Simulators , 2003 .

[9]  Marcelo Knörich Zuffo,et al.  Fuzzy Rule-Based Evaluation for a Haptic and Stereo Simulator for Bone Marrow Harvest for Transplant , 2000 .

[10]  Matthias Harders Surgical scene generation for virtual reality-based training in medicine , 2008 .

[11]  Karen J. Reynolds,et al.  A Virtual Reality Throat Examination Simulation , 2008, MMVR.

[12]  Alan Lipschultz,et al.  Virtual Reality Technology, 2nd edition , 2004 .

[13]  Heinz Handels,et al.  Training and evaluation of lumbar punctures in a VR-environment using a 6DOF haptic device , 2008, MMVR.

[14]  R. Moraes,et al.  ANOTHER APPROACH FOR FUZZY NAIVE BAYES APPLIED ON ONLINE TRAINING ASSESSMENT IN VIRTUAL REALITY SIMULATORS , 2009 .

[15]  Liliane dos Santos Machado,et al.  VR-Based Simulation for the Learning of Gynaecological Examination , 2006, ICAT.

[16]  John Kenneth Salisbury,et al.  Visuohaptic simulation of bone surgery for training and evaluation , 2006, IEEE Computer Graphics and Applications.

[17]  David M. Gaba,et al.  Simulation-Based Training in Anesthesia Crisis Resource Management (ACRM): A Decade of Experience , 2001 .

[18]  J William,et al.  IEEE Computer Graphics and Applications , 2019, Computer.

[19]  Richard M Satava,et al.  Surgical competence and surgical proficiency: definitions, taxonomy, and metrics. , 2003, Journal of the American College of Surgeons.

[20]  Heinz Handels,et al.  Needle Bending in a VR-Puncture Training System Using a 6DOF Haptic Device , 2009, MMVR.

[21]  Liliane dos Santos Machado,et al.  ASSESSMENT OF GYNECOLOGICAL PROCEDURES IN A SIMULATOR BASED ON VIRTUAL REALITY , 2006 .