2 citations · 3 across the 7 of their papers we have counts for
8 papers
PMPNet: Pixel Movement Prediction Network for Monocular Depth Estimation in Dynamic Scenes
Kebin Peng, John Quarles, Kevin Desai
In this paper, we propose a novel method for monocular depth estimation in dynamic scenes. We first explore the arbitrariness of object's movement trajectory in dynamic scenes theo…
LiteVR: Interpretable and Lightweight Cybersickness Detection using Explainable AI
Ripan Kumar Kundu, Rifatul Islam, John Quarles +1
Cybersickness is a common ailment associated with virtual reality (VR) user experiences. Several automated methods exist based on machine learning (ML) and deep learning (DL) to de…
Standing Balance Improvement Using Vibrotactile Feedback in Virtual Reality
M. Rasel Mahmud, Michael Stewart, Alberto Cordova +1
Virtual Reality (VR) users often encounter postural instability, i.e., balance issues, which can be a significant impediment to universal usability and accessibility, particularly…
Auditory Feedback to Make Walking in Virtual Reality More Accessible
M. Rasel Mahmud, Michael Stewart, Alberto Cordova +1
The objective of this study is to investigate the impact of several auditory feedback modalities on gait (i.e., walking patterns) in virtual reality (VR). Prior research has substa…
Vibrotactile Feedback to Make Real Walking in Virtual Reality More Accessible
M. Rasel Mahmud, Michael Stewart, Alberto Cordova +1
This research aims to examine the effects of various vibrotactile feedback techniques on gait (i.e., walking patterns) in virtual reality (VR). Prior studies have demonstrated that…
Auditory Feedback for Standing Balance Improvement in Virtual Reality
M. Rasel Mahmud, Michael Stewart, Alberto Cordova +1
Virtual Reality (VR) users often experience postural instability, i.e., balance problems, which could be a major barrier to universal usability and accessibility for all, especiall…
DiVRsify: Break the Cycle and Develop VR for Everyone
Tabitha C. Peck, Kyla McMullen, John Quarles
Virtual reality technology is biased. It excludes approximately 95% the world's population by being primarily designed for male, western, educated, industrial, rich, and democratic…
VR Sickness Prediction from Integrated HMD's Sensors using Multimodal Deep Fusion Network
Rifatul Islam, Kevin Desai, John Quarles
Virtual Reality (VR) sickness commonly known as cybersickness is one of the major problems for the comfortable use of VR systems. Researchers have proposed different approaches for…