A survey on brain-computer interface-inspired communications: opportunities and challenges

H Hu, Z Wang, X Zhao, R Li, A Li, Y Si… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Brain-computer interfaces (BCIs) aim to directly bridge the human brain and the outside
world through acquiring and processing the brain signals in real time. In recent two decades …

EmbraceNet: A robust deep learning architecture for multimodal classification

JH Choi, JS Lee - Information Fusion, 2019 - Elsevier
Classification using multimodal data arises in many machine learning applications. It is
crucial not only to model cross-modal relationship effectively but also to ensure robustness …

Psychophysiology-based QoE assessment: A survey

U Engelke, DP Darcy, GH Mulliken… - IEEE Journal of …, 2016 - ieeexplore.ieee.org
We present a survey of psychophysiology-based assessment for quality of experience (QoE)
in advanced multimedia technologies. We provide a classification of methods relevant to …

A feature selection for video quality of experience modeling: A systematic literature review

F Skaka‐Čekić… - … Reviews: Data Mining and …, 2023 - Wiley Online Library
Abstract Quality of Experience (QoE) multidimensional concept is the key for successful
delivery of multimedia services. Higher user requirements for new experiences such as …

Brain-inspired image perceptual quality assessment based on eeg: A qoe perspective

S Hu, Y Duan, X Tao, GY Li, J Lu, G Liu… - … on Pattern Analysis …, 2024 - ieeexplore.ieee.org
Human-oriented image communication should take the quality of experience (QoE) as an
optimization goal, which requires effective image perceptual quality metrics. However …

Implicit analysis of perceptual multimedia experience based on physiological response: A review

SE Moon, JS Lee - IEEE Transactions on Multimedia, 2016 - ieeexplore.ieee.org
The exponential growth of popularity of multimedia has led to needs for user-centric
adaptive applications that manage multimedia content more effectively. Implicit analysis …

EEG-based maritime object detection for IoT-driven surveillance systems in smart ocean

Y Duan, Z Li, X Tao, Q Li, S Hu… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Automated maritime object detection is a significant research challenge in intelligent marine
surveillance systems for the Internet of Things (IoT) and smart ocean applications. In …

Review on using physiology in quality of experience

S Arndt, K Brunnström, E Cheng, U Engelke… - Electronic …, 2016 - library.imaging.org
In the area of Quality of Experience (QoE), one challenge is to design test methodologies in
order to evaluate the perceived quality of multimedia content delivered through technical …

An EEG-based study on perception of video distortion under various content motion conditions

X Liu, X Tao, M Xu, Y Zhan, J Lu - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Human perception sensitivity to video distortion is vital for visual quality assessment (VQA).
Different from the perception mechanism of image distortion that has been thoroughly …

Prediction of car design perception using EEG and gaze patterns

SE Moon, JH Kim, SW Kim… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In this paper, we deal with the issue of implicit monitoring of perceptual responses to product
design through electroencephalography (EEG) and eye tracking. Four evaluation factors …