3D Visual Discomfort Assessment With a Weakly Supervised Graph Convolution Neural Network Based on Inaccurately Labeled EEG

3D Visual Discomfort Assessment With a Weakly Supervised Graph Convolution Neural Network Based on Inaccurately Labeled EEG

Visual discomfort significantly limits the broader application of stereoscopic display technology. Hence, the accurate assessment of stereoscopic visual discomfort is a crucial topic in this field. Electroencephalography (EEG) data, which can reflect changes in brain activity, have received increasi...

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Bibliographic Details
Main Authors: Na Lu, Xiaojie Zhao, Li Yao
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
EEG
weakly supervised learning
graph convolution neural network
visual discomfort
Online Access:https://ieeexplore.ieee.org/document/10454012/

Internet

https://ieeexplore.ieee.org/document/10454012/

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