Excessive Crossed Disparity Detection by Visual Evoked Potentials to Reduce Visual Discomfort in 3D Viewing

المؤلفون المشاركون

Qian, Zhiyu
Yang, Yamin
Wang, Xiao
Yao, Liuye
Xing, Lidong
Li, Weitao

المصدر

Computational Intelligence and Neuroscience

العدد

المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-8، 8ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2018-11-01

دولة النشر

مصر

عدد الصفحات

8

التخصصات الرئيسية

الأحياء

الملخص EN

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.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Wang, Xiao& Yao, Liuye& Qian, Zhiyu& Xing, Lidong& Li, Weitao& Yang, Yamin. 2018. Excessive Crossed Disparity Detection by Visual Evoked Potentials to Reduce Visual Discomfort in 3D Viewing. Computational Intelligence and Neuroscience،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1130826

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Wang, Xiao…[et al.]. Excessive Crossed Disparity Detection by Visual Evoked Potentials to Reduce Visual Discomfort in 3D Viewing. Computational Intelligence and Neuroscience No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1130826

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Wang, Xiao& Yao, Liuye& Qian, Zhiyu& Xing, Lidong& Li, Weitao& Yang, Yamin. Excessive Crossed Disparity Detection by Visual Evoked Potentials to Reduce Visual Discomfort in 3D Viewing. Computational Intelligence and Neuroscience. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1130826

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1130826