Prediction of Motion Sickness Degree of Stereoscopic Panoramic ...

Prediction of motion sickness degree of stereoscopic panoramic ...

When stereoscopic perception is combined with VR, it can make visual discomfort and motion sickness symptoms worse. However, most of the existing prediction ...

The proposed method has achieved excellent prediction performance on stereoscopic panoramic video comfort database SPVCD , its predication ...

Prediction of motion sickness degree of stereoscopic panoramic ...

In this paper, a motion sickness prediction method based on content perception and binocular characteristics is proposed for stereoscopic panoramic video. The ...

Prediction of motion sickness degree of stereoscopic panoramic ...

Prediction of motion sickness degree of stereoscopic panoramic videos based on content perception and binocular characteristics · List of references.

Prediction of motion sickness degree of stereoscopic panoramic ...

Prediction of motion sickness degree of stereoscopic panoramic videos based on content perception and binocular characteristics. Z. Lu, M. Yu, G. Jiang, B ...

Motion Sickness Prediction in Stereoscopic Videos using 3D ...

A three-dimensional (3D) convolutional neural network (CNN)-based method for predicting the degree of motion sickness induced by a 360° stereoscopic video ...

Towards a Machine-Learning Approach for Sickness Prediction in ...

... Regarding videos, Padmanaban et al. [43] created a dataset of 19 stereoscopic videos and corresponding sickness levels to predict simulator sickness. They ...

Towards a Machine-Learning Approach for Sickness Prediction in ...

We verify first that differences in vection due to relative stimulus depth remain correlated with sickness. Then, we build a dataset of stereoscopic 3D videos ...

Quality of Experience Comparison of Stereoscopic 3D Videos in ...

ness levels predictions in virtual reality,'' Electronics, vol. 9, no. 9 ... Abdullah,. ''Does 3D produce more symptoms of visually induced motion sickness?

Towards a Machine-Learning Approach for Sickness Prediction in ...

9 Excerpts. Deep Learning-based Simulator Sickness Estimation from 3D Motion · 7 Excerpts. Real-Time Viewport-Aware Optical Flow Estimation in 360-degree Videos ...

Evaluating the Factors Affecting QoE of 360-Degree Videos ... - MDPI

We propose a neural network-based QoE prediction method that can predict the degree of cybersickness influenced by 360-degree videos under various stalling ...

Factors Associated With Virtual Reality Sickness in Head-Mounted ...

The Simulator Sickness Questionnaire (SSQ) (Kennedy et al., 1993), originally developed for measuring motion sickness in simulators, is the most commonly used ...

Effects of Navigation Speed on Motion Sickness Caused by an ...

This study investigated the effects of navigation speed on the level of motion sickness during and after a 30-min head-steered virtual environment.

Reducing Cybersickness in 360-degree Virtual Reality

Virtual Reality, 360-degree Virtual Reality, Cybersickness, Motion Sickness ... Towards a machine-learning approach for sickness prediction in 360 stereoscopic ...

Multi-source Information Perception and Prediction for Panoramic ...

Ziang, L., et al.: Prediction of motion sickness degree of stereoscopic panoramic videos based on content perception and binocular characteristics. Digit ...

VR Sickness Prediction for Navigation in Immersive Virtual ... - HAL

Another promising online motion sickness level prediction sys- tem ... motion sickness in dynamic 3D contents based on subjective judgment,.

Spatiotemporal multi-feature evaluation of visually ... - Researching

Prediction of motion sickness degree of stereoscopic panoramic videos based on content perception and binocular characteristics. Digital Signal Processing ...

A review of cybersickness in head-mounted displays

... predict the level of VR sickness when a user ... Motion sickness prediction in stereoscopic videos using 3d convolutional neural networks.

Motion Sickness Prediction in Stereoscopic Videos using 3D ...

In this paper, we propose a three-dimensional (3D) convolutional neural network (CNN)-based method for predicting the degree of motion sickness induced by a ...

Overview of Motion-to-Photon Latency Reduction for Mitigating VR ...

VR sickness level evaluation process in IEEE 3079. The factors that affect user VR sickness include the continuity of viewpoint, 3D sound,.