Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
Comput Intell Neurosci. 2018 Nov 1;2018:7098389. doi: 10.1155/2018/7098389. eCollection 2018.
As excessive crossed disparity is known to cause visual discomfort, this study aims to establish a classification model to discriminate excessive crossed disparity in stereoscopic viewing in combination with subjective assessment of visual discomfort. A stereo-visual evoked potentials (VEPs) experimental system was built up to obtain the VEPs evoked by stereoscopic stimulus with different disparities. Ten volunteers participated in this experiment, and forty VEP datasets in total were extracted when the viewers were under comfortable viewing conditions. Six features of VEPs from three electrodes at the occipital lobe were chosen, and the classification was established using the Fisher's linear discriminant (FLD). Based on FLD results, the correct rate for determining the excessive crossed disparity was 70%, and it reached 80% for other stimuli. The study demonstrated cost-effective discriminant classification modelling to distinguish the stimulus with excessive crossed disparity which inclines to cause visual discomfort.
由于过大的交叉视差会引起视觉不适，因此本研究旨在建立一种分类模型，结合视觉不适的主观评估，来区分立体观看中的过大交叉视差。我们构建了一个立体视觉诱发电位（VEP）实验系统，以获得具有不同视差的立体刺激引发的 VEP。十位志愿者参与了这项实验，当观看者处于舒适的观看条件下时，总共提取了四十组 VEP 数据集。我们从枕叶的三个电极中选择了 VEP 的六个特征，并使用 Fisher 的线性判别（FLD）建立分类。基于 FLD 的结果，确定过大交叉视差的准确率为 70%，对于其他刺激的准确率达到 80%。该研究表明，通过有成本效益的判别分类建模，可以区分容易引起视觉不适的过大交叉视差刺激。
