Virtually Competent: A Comparative Analysis of Virtual Reality and Dry-Lab Robotic Simulation Training

2020 ◽  
Vol 34 (3) ◽  
pp. 379-384
Author(s):  
Nicholas Raison ◽  
Andrea Gavazzi ◽  
Takashige Abe ◽  
Kamran Ahmed ◽  
Prokar Dasgupta
2018 ◽  
Vol 199 (4S) ◽  
Author(s):  
Nicholas Raison ◽  
Andrea Gavazzi ◽  
Takashige Abe ◽  
Kamran Ahmed ◽  
Prokar Dasgupta

Sensors ◽  
2020 ◽  
Vol 21 (1) ◽  
pp. 26
Author(s):  
David González-Ortega ◽  
Francisco Javier Díaz-Pernas ◽  
Mario Martínez-Zarzuela ◽  
Míriam Antón-Rodríguez

Driver’s gaze information can be crucial in driving research because of its relation to driver attention. Particularly, the inclusion of gaze data in driving simulators broadens the scope of research studies as they can relate drivers’ gaze patterns to their features and performance. In this paper, we present two gaze region estimation modules integrated in a driving simulator. One uses the 3D Kinect device and another uses the virtual reality Oculus Rift device. The modules are able to detect the region, out of seven in which the driving scene was divided, where a driver is gazing at in every route processed frame. Four methods were implemented and compared for gaze estimation, which learn the relation between gaze displacement and head movement. Two are simpler and based on points that try to capture this relation and two are based on classifiers such as MLP and SVM. Experiments were carried out with 12 users that drove on the same scenario twice, each one with a different visualization display, first with a big screen and later with Oculus Rift. On the whole, Oculus Rift outperformed Kinect as the best hardware for gaze estimation. The Oculus-based gaze region estimation method with the highest performance achieved an accuracy of 97.94%. The information provided by the Oculus Rift module enriches the driving simulator data and makes it possible a multimodal driving performance analysis apart from the immersion and realism obtained with the virtual reality experience provided by Oculus.


2021 ◽  
pp. 104687812110082
Author(s):  
Omamah Almousa ◽  
Ruby Zhang ◽  
Meghan Dimma ◽  
Jieming Yao ◽  
Arden Allen ◽  
...  

Objective. Although simulation-based medical education is fundamental for acquisition and maintenance of knowledge and skills; simulators are often located in urban centers and they are not easily accessible due to cost, time, and geographic constraints. Our objective is to develop a proof-of-concept innovative prototype using virtual reality (VR) technology for clinical tele simulation training to facilitate access and global academic collaborations. Methodology. Our project is a VR-based system using Oculus Quest as a standalone, portable, and wireless head-mounted device, along with a digital platform to deliver immersive clinical simulation sessions. Instructor’s control panel (ICP) application is designed to create VR-clinical scenarios remotely, live-stream sessions, communicate with learners and control VR-clinical training in real-time. Results. The Virtual Clinical Simulation (VCS) system offers realistic clinical training in virtual space that mimics hospital environments. Those VR clinical scenarios are customizable to suit the need, with high-fidelity lifelike characters designed to deliver interactive and immersive learning experience. The real-time connection and live-stream between ICP and VR-training system enables interactive academic learning and facilitates access to tele simulation training. Conclusions. VCS system provides innovative solutions to major challenges associated with conventional simulation training such as access, cost, personnel, and curriculum. VCS facilitates the delivery of academic and interactive clinical training that is similar to real-life settings. Tele-clinical simulation systems like VCS facilitate necessary academic-community partnerships, as well as global education network between resource-rich and low-income countries.


Author(s):  
Xiaohui Liao ◽  
Hao Wang ◽  
Jinliang Niu ◽  
Jingbo Xiao ◽  
Chuan Liu

2016 ◽  
Vol 23 (7) ◽  
pp. S168
Author(s):  
P Mattingly ◽  
A Tanaka ◽  
D Julian ◽  
M Truong ◽  
K Simpson ◽  
...  

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