Assessment of visual fatigue caused by stereoscopic disparity based on multimodal measurement

Jia, Lixiu; Jia, Lixin; Lin, Zhong; Feng, Lihang; Huang, Xiaohua

doi:10.1016/j.displa.2023.102466

Displays

2023

DOI: 10.1016/j.displa.2023.102466

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Assessment of visual fatigue caused by stereoscopic disparity based on multimodal measurement

Lixiu Jia

Lixin Jia

Zhong Lin

et al.

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2024

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Cited by 3 publications

References 43 publications

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3‐2: Invited Paper: Assessment of visual fatigue caused by 2D and 3D displays using EEG

Jia

2024

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In this study, we compared visual fatigue parameters caused by watching 2D and 3D display presented on Sony BRAVIA LCD 3DTV based on electroencephalography (EEG) signal. EEG features (δ, θ, α, β, α/β, θ/β, (α+θ)/β, (α+θ)/(α+β), gravity frequency of power spectrum (GF) and power spectral entropy (PSE)) of 19 electrodes divided into 9 regions were extracted by frequency‐domain analysis method. The 9 horizontal and vertica brain areas had a significant influence on δ power and θ Power The results indicated that 3D display caused more visual fatigue compared to 2D display.

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3‐2: Invited Paper: Assessment of visual fatigue caused by 2D and 3D displays using EEG

Jia

2024

Symp Digest of Tech Papers

Self Cite

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Low-cost and portable physiological signal monitor using PhysRate model

Tan,

Zhu,

Cheng

et al. 2024

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A multimodal visual fatigue assessment model based on back propagation neural network and XGBoost

Jia,

Zhao

et al. 2024

Displays

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Assessment of visual fatigue caused by stereoscopic disparity based on multimodal measurement

Cited by 3 publications

References 43 publications

3‐2: Invited Paper: Assessment of visual fatigue caused by 2D and 3D displays using EEG

3‐2: Invited Paper: Assessment of visual fatigue caused by 2D and 3D displays using EEG

Low-cost and portable physiological signal monitor using PhysRate model

A multimodal visual fatigue assessment model based on back propagation neural network and XGBoost

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