Open virtual reality

Bolas, Mark; Hoberman, Perry; Phan, Thai; Luckey, Palmer; Iliff, James; Burba, Nate; McDowall, Ian E.; Krum, David M.

doi:10.1109/vr.2013.6549423

Cited by 8 publications

(3 citation statements)

References 12 publications

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“…Nowadays, we dispose of a wide variety of VR and AR devices, from cheap, smartphone-based ones, such as the papercraft FOV2GO from the University of Southern California [ 10 ], to more advanced and professional devices [ 11 ] such as Microsoft HoloLens, Magic Leap One and Google Glass. In addition to assistive maintenance [ 1 , 2 ], AR has proven its effectiveness in a wide range of applications, such as training for high-precision tasks [ 12 ], indoor navigation in large buildings (such as hospitals, airports and train stations) [ 13 ], education [ 14 ], image-guided surgery [ 15 ] and telemedicine [ 16 ].…”

Section: Ar For Egocentric Visionmentioning

confidence: 99%

Advanced Assistive Maintenance Based on Augmented Reality and 5G Networking

Verde

Marcon

Milani

et al. 2020

Sensors

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Internet of Things (IoT) applications play a relevant role in today’s industry in sharing diagnostic data with off-site service teams, as well as in enabling reliable predictive maintenance systems. Several interventions scenarios, however, require the physical presence of a human operator: Augmented Reality (AR), together with a broad-band connection, represents a major opportunity to integrate diagnostic data with real-time in-situ acquisitions. Diagnostic information can be shared with remote specialists that are able to monitor and guide maintenance operations from a control room as if they were in place. Furthermore, integrating heterogeneous sensors with AR visualization displays could largely improve operators’ safety in complex and dangerous industrial plants. In this paper, we present a complete setup for a remote assistive maintenance intervention based on 5G networking and tested at a Vodafone Base Transceiver Station (BTS) within the Vodafone 5G Program. Technicians’ safety was improved by means of a lightweight AR Head-Mounted Display (HDM) equipped with a thermal camera and a depth sensor to foresee possible collisions with hot surfaces and dangerous objects, by leveraging the processing power of remote computing paired with the low latency of 5G connection. Field testing confirmed that the proposed approach can be a viable solution for egocentric environment understanding and enables an immersive integration of the obtained augmented data within the real scene.

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Section: Ar For Egocentric Visionmentioning

confidence: 99%

Advanced Assistive Maintenance Based on Augmented Reality and 5G Networking

Verde

Marcon

Milani

et al. 2020

Sensors

View full text Add to dashboard Cite

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“…For the virtual environment, we created a small lab room with a table in front of the user and some furniture around the room. For the virtual smartphone model, we used a Samsung Galaxy S10, which we obtained for free from the TurboSquid website 12 with allowance for academic usage.…”

Section: Used Libraries and Implementation Challengesmentioning

confidence: 99%

“…They devised the FOV2GO device 6 , which was the first low-cost smartphone-based "cardboard" HMD prototype. Further evolution of the idea led to the creation of the first versions of modern VR headsets such as the Oculus Rift DK1 [12] and Google Cardboard 7 . The advent of low-cost, low-power LCD displays through the development of smartphones was directly applied in the development of modern LCD-based VR head-mounted displays.…”

Section: Chapter 1: Introductionmentioning

confidence: 99%

Selection Performance Using a Smartphone in VR with Redirected Input

Kyian¹

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We present a method to track a smartphone in VR using a fiducial marker displayed on the screen. Using WebRTC transmission protocol, we capture input on the smartphone touchscreen as well as the screen contents, copying them to a virtual representation in VR. We present two Fitts' law experiments assessing the performance of selecting targets displayed on the virtual smartphone screen using this method. The first compares direct vs. indirect input (i.e., virtual smartphone co-located with the physical smartphone, or not), and reveals there is no significant difference in performance due to input indirection. The second experiment assesses the influence of input scaling, i.e., decoupling the virtual cursor from the actual finger position on the smartphone screen so as to provide a larger virtual tactile surface. Results indicate a small effect for extreme scale factors. We discuss implications for the use of smartphones as input devices in VR.

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Exergaming for Shoulder-Based Exercise and Rehabilitation

Uribe-Quevedo

Kapralos

2017

Recent Advances in Technologies for Inclusive Well-Being

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Open virtual reality

Cited by 8 publications

References 12 publications

Advanced Assistive Maintenance Based on Augmented Reality and 5G Networking

Advanced Assistive Maintenance Based on Augmented Reality and 5G Networking

Selection Performance Using a Smartphone in VR with Redirected Input

Exergaming for Shoulder-Based Exercise and Rehabilitation

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