@inproceedings{417dce97de24440695731bf18ab4ec4f,
title = "Prevention of Visually Induced Motion Sickness Based on Dynamic Real-Time Content-Aware Non-salient Area Blurring",
abstract = "This paper proposes an innovative method for reducing the visually induced motion sickness (MS) occurred in a 3D immersive virtual environment (VE) by utilizing a flexible dynamic scene smoothing approach based on saliency analysis. A saliency model based on fully convolutional network (FCN) is first trained to establish the saliency map, then the probability maps representing the salient information and the non-salient information are combined to alter the field of view (FOV) by smoothing the non-salient area. An experiment is conducted to evaluate the performance of the proposed approach. The experimental data demonstrate that participants experiencing dynamic blurring VE reports a 50\% reduction of the severity of MS symptom on average during the VR experience than the participants experiencing the control condition, which show that the proposed approach can be used to effectively prevent the visually induced MS in VR and support longer duration of users in VE.",
author = "Guangyu Nie and Yue Liu and Yongtian Wang",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 16th Adjunct IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2017 ; Conference date: 09-10-2017 Through 13-10-2017",
year = "2017",
month = oct,
day = "27",
doi = "10.1109/ISMAR-Adjunct.2017.35",
language = "English",
series = "Adjunct Proceedings of the 2017 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "75--78",
editor = "Wolfgang Broll and Holger Regenbrecht and Gerd Bruder and Myriam Servieres and Maki Sugimoto and Swan, \{J Edward\}",
booktitle = "Adjunct Proceedings of the 2017 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2017",
address = "United States",
}