Prediction of motion sickness degree of stereoscopic panoramic videos based on content perception and binocular characteristics-Reference-Cited by-同舟云学术

Prediction of motion sickness degree of stereoscopic panoramic videos based on content perception and binocular characteristics

Published:2022-12 Issue: Volume:132 Page:103787
ISSN:1051-2004
Container-title:Digital Signal Processing
language:en
Short-container-title:Digital Signal Processing

Author:

Lu Ziang,Yu Mei,Jiang Gangyi,Chi Biwei,Dong Qifeng

Funder

Natural Science Foundation of Zhejiang Province

National Natural Science Foundation of China Zhejiang Joint Fund for the Integration of Industrialization and Informatization

National Natural Science Foundation of China

Ningbo University

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Signal Processing,Artificial Intelligence,Applied Mathematics,Computer Vision and Pattern Recognition,Statistics, Probability and Uncertainty,Computational Theory and Mathematics

Reference53 articles.

1. Cybersickness and its severity arising from virtual reality content: a comprehensive study;Oh;Sensors,2022

2. Towards a machine-learning approach for sickness prediction in 360° stereoscopic videos;Padmanaban;IEEE Trans. Vis. Comput. Graph.,2018

3. Towards a better understanding of VR sickness: physical symptom prediction for VR contents;Kim;Proc. AAAI Conf. Artif. Intell.,2021

4. VR sickness versus VR presence: a statistical prediction model;Kim;IEEE Trans. Image Process.,2021

5. VRSA Net: VR sickness assessment considering exceptional motion for 360° VR video;Kim;IEEE Trans. Image Process.,2019

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multi-source Information Perception and Prediction for Panoramic Videos;Lecture Notes in Computer Science;2024

2. Artificial Intelligence-based Motion Sickness Detection: A Survey;2023 30th IEEE International Conference on Electronics, Circuits and Systems (ICECS);2023-12-04