scholarly journals Double-Channel Stereoscopic Display Technology Based on OpenGL

2013 ◽  
Vol 5 (1) ◽  
pp. 228-232
Author(s):  
Liu Shu ◽  
Fan Yangyu ◽  
Zhang Chenrui
Keyword(s):  
Stereoscopic Display ◽  
Display Technology ◽  
Double Channel

Passive Stereoscopic Display and Disassembly Simulation of Certain Shafting Components

2011 ◽  
Vol 120 ◽  
pp. 42-46
Author(s):  
Qun Zhang Tu ◽  
Long Qin ◽  
Jv Ying Dai
Keyword(s):  
Single Channel ◽  
Simulation Software ◽  
Stereoscopic Display ◽  
Display Technology ◽  
Software And Hardware ◽  
And Training

The principle of stereoscopic display technology，the software and hardware framework for single-channel passive stereoscopic display and the simulation software Delmia are introduced in this paper. Certain shafting components serve as an example to realize the effect of passive stereoscopic display and disassembly simulation in Delmia, which is helpful for teaching and training about equipments maintenance

A high-brightness diffractive stereoscopic display technology

Displays ◽  
2010 ◽  
Vol 31 (4-5) ◽  
pp. 169-174 ◽  
Author(s):  
Chien-Yue Chen ◽  
Qing-Long Deng ◽  
Han-Chiang Wu
Keyword(s):  
Stereoscopic Display ◽  
High Brightness ◽  
Display Technology

Visual Fatigue Assessment Based on Multi-task Learning

2019 ◽  
Vol 63 (6) ◽  
pp. 60414-1-60414-8
Author(s):  
Danli Wang ◽  
Xueyu Wang ◽  
Yaguang Song ◽  
Qian Xing ◽  
Nan Zheng
Keyword(s):  
Rapid Development ◽  
Assessment Model ◽  
Learning Method ◽  
Stereoscopic Display ◽  
Visual Fatigue ◽  
Fatigue Assessment ◽  
Task Learning ◽  
Eeg Data ◽  
Display Technology ◽  
Electroencephalogram Eeg

Abstract In recent years, with the rapid development of stereoscopic display technology, its applications have become increasingly popular in many fields, and, meanwhile, the number of audiences is also growing. The problem of visual fatigue is becoming more and more prominent. Visual fatigue is mainly caused by vergence‐accommodation conflicts. An evaluation experiment was conducted, and the electroencephalogram (EEG) data of the subjects were collected when they were watching stereoscopic content, and then the stereoscopic fatigue state of the subjects during the viewing process was analyzed. As deep learning is proved to be an effective end-to-end learning method and multi-task learning can alleviate the problem of lacking annotated data, the authors establish a user visual fatigue assessment model based on EEG by using multi-task learning, which can effectively obtain the user’s visual fatigue status, so as to make the comfort designs to avoid the harm caused by user’s visual fatigue.

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