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Measurement of exceptional motion in VR video contents for VR sickness
  assessment using deep convolutional autoencoder

Measurement of exceptional motion in VR video contents for VR sickness assessment using deep convolutional autoencoder

11 April 2018
Hak Gu Kim
Wissam J. Baddar
Heoun-taek Lim
Hyunwook Jeong
Yong Man Ro
ArXiv (abs)PDFHTML

Papers citing "Measurement of exceptional motion in VR video contents for VR sickness assessment using deep convolutional autoencoder"

5 / 5 papers shown
Towards Cybersickness Severity Classification from VR Gameplay Videos Using Transfer Learning and Temporal Modeling
Towards Cybersickness Severity Classification from VR Gameplay Videos Using Transfer Learning and Temporal Modeling
Jyotirmay Nag Setu
Kevin Desai
John Quarles
79
0
0
12 Oct 2025
Enhancing Immersion and Presence in the Metaverse with Over-the-Air
  Brain-Computer Interface
Enhancing Immersion and Presence in the Metaverse with Over-the-Air Brain-Computer InterfaceIEEE Transactions on Wireless Communications (IEEE TWC), 2023
Nguyen Quang Hieu
D. Hoang
Diep N. Nguyen
Van-Dinh Nguyen
Yong Xiao
E. Dutkiewicz
160
2
0
19 Mar 2023
An Open Framework for Analyzing and Modeling XR Network Traffic
An Open Framework for Analyzing and Modeling XR Network TrafficIEEE Access (IEEE Access), 2021
Mattia Lecci
Matteo Drago
Andrea Zanella
M. Zorzi
99
44
0
10 Aug 2021
Towards a Better Understanding of VR Sickness: Physical Symptom
  Prediction for VR Contents
Towards a Better Understanding of VR Sickness: Physical Symptom Prediction for VR ContentsAAAI Conference on Artificial Intelligence (AAAI), 2021
Hak Gu Kim
Sangmin Lee
Seong-Tae Kim
Heoun-taek Lim
Y. Ro
169
9
0
14 Apr 2021
Automatic Recommendation of Strategies for Minimizing Discomfort in
  Virtual Environments
Automatic Recommendation of Strategies for Minimizing Discomfort in Virtual Environments
T. Porcino
E. Clua
D. Trevisan
Érick Oliveira Rodrigues
A. Silva
120
1
0
27 Jun 2020
1
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