Cybersickness assessment for frame rate of ultra-wide display with deep model of visual perception mismatch = 광시야 디스플레이에서 시지각 불일치 딥모델을 이용한 프레임률에 따른 사이버멀미 측정

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This study investigates the method of assessing the cybersickness according to the frame rate in the ultra-wide display, which is one of the immersive virtual environments. Cybersickness is a similar symptom to motion sickness while experiencing the virtual environments, causing serious concern about the viewing safety of the immersive virtual environments. In particular, frame rate is one of the most important and common causes of cybersickness. In this study, we propose an objective cybersickness assessment method due to frame rate by modeling the visual perception mismatch using deep learning. To do this, we devise the visual expectation network through unsupervised learning and the cybersickness prediction network through supervised learning. We also conducted an extensive subject measurement experiments on the cybersickness score at various frame rates to evaluate performance of the proposed network.
Advisors
Ro, Yong Manresearcher노용만researcher
Description
한국과학기술원 :전기및전자공학부,
Publisher
한국과학기술원
Issue Date
2018
Identifier
325007
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 전기및전자공학부, 2018.8,[iii, 18 p. :]

Keywords

사이버멀미 평가▼a가상환경▼a시지각 모델링▼a프레임률▼a딥러닝; cybersickness assessment▼avirtual environment▼avisual perception modelling▼aframe rate▼adeep learning

URI
http://hdl.handle.net/10203/266764
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=828558&flag=dissertation
Appears in Collection
EE-Theses_Master(석사논문)
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