On the Repeatability of EEG-Based Image Quality Assessment

Jaehui Hwang; Seong Eun Moon; Jong Seok Lee

doi:10.1109/SMC.2018.00308

On the Repeatability of EEG-Based Image Quality Assessment

Jaehui Hwang, Seong Eun Moon, Jong Seok Lee

School of Integrated Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

Electroencephalography (EEG) has attracted much attention because it allows to monitor user states in real time and is applicable to applications for improvement of multimedia user experience. The repeatability of EEG-based perceptual response analysis is critical for the reliability of such applications, which has not been sufficiently addressed in previous studies. In this paper, we evaluate the repeatability of EEG-based image quality assessment. We repeatedly perform the same experiment for three successive days. Then, we design a classification system that discriminates the quality of images based on EEG, whose performance is examined across the data collected in different days. We reveal that the repeatability of image quality evaluation using EEG decreases as time goes and the memory effect intensifies the loss of repeatability.

Original language	English
Title of host publication	Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1785-1788
Number of pages	4
ISBN (Electronic)	9781538666500
DOIs	https://doi.org/10.1109/SMC.2018.00308
Publication status	Published - 2018 Jul 2
Event	2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 - Miyazaki, Japan Duration: 2018 Oct 7 → 2018 Oct 10

Publication series

Name	Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018

Conference

Conference	2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
Country/Territory	Japan
City	Miyazaki
Period	18/10/7 → 18/10/10

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

All Science Journal Classification (ASJC) codes

Information Systems
Information Systems and Management
Health Informatics
Artificial Intelligence
Computer Networks and Communications
Human-Computer Interaction

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/SMC.2018.00308

Cite this

Hwang, J., Moon, S. E., & Lee, J. S. (2018). On the Repeatability of EEG-Based Image Quality Assessment. In Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 (pp. 1785-1788). Article 8616304 (Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SMC.2018.00308

Hwang, Jaehui ; Moon, Seong Eun ; Lee, Jong Seok. / On the Repeatability of EEG-Based Image Quality Assessment. Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1785-1788 (Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018).

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title = "On the Repeatability of EEG-Based Image Quality Assessment",

abstract = "Electroencephalography (EEG) has attracted much attention because it allows to monitor user states in real time and is applicable to applications for improvement of multimedia user experience. The repeatability of EEG-based perceptual response analysis is critical for the reliability of such applications, which has not been sufficiently addressed in previous studies. In this paper, we evaluate the repeatability of EEG-based image quality assessment. We repeatedly perform the same experiment for three successive days. Then, we design a classification system that discriminates the quality of images based on EEG, whose performance is examined across the data collected in different days. We reveal that the repeatability of image quality evaluation using EEG decreases as time goes and the memory effect intensifies the loss of repeatability.",

author = "Jaehui Hwang and Moon, {Seong Eun} and Lee, {Jong Seok}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 ; Conference date: 07-10-2018 Through 10-10-2018",

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doi = "10.1109/SMC.2018.00308",

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Hwang, J, Moon, SE & Lee, JS 2018, On the Repeatability of EEG-Based Image Quality Assessment. in Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018., 8616304, Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018, Institute of Electrical and Electronics Engineers Inc., pp. 1785-1788, 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018, Miyazaki, Japan, 18/10/7. https://doi.org/10.1109/SMC.2018.00308

On the Repeatability of EEG-Based Image Quality Assessment. / Hwang, Jaehui; Moon, Seong Eun; Lee, Jong Seok.
Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1785-1788 8616304 (Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Hwang, Jaehui

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N2 - Electroencephalography (EEG) has attracted much attention because it allows to monitor user states in real time and is applicable to applications for improvement of multimedia user experience. The repeatability of EEG-based perceptual response analysis is critical for the reliability of such applications, which has not been sufficiently addressed in previous studies. In this paper, we evaluate the repeatability of EEG-based image quality assessment. We repeatedly perform the same experiment for three successive days. Then, we design a classification system that discriminates the quality of images based on EEG, whose performance is examined across the data collected in different days. We reveal that the repeatability of image quality evaluation using EEG decreases as time goes and the memory effect intensifies the loss of repeatability.

AB - Electroencephalography (EEG) has attracted much attention because it allows to monitor user states in real time and is applicable to applications for improvement of multimedia user experience. The repeatability of EEG-based perceptual response analysis is critical for the reliability of such applications, which has not been sufficiently addressed in previous studies. In this paper, we evaluate the repeatability of EEG-based image quality assessment. We repeatedly perform the same experiment for three successive days. Then, we design a classification system that discriminates the quality of images based on EEG, whose performance is examined across the data collected in different days. We reveal that the repeatability of image quality evaluation using EEG decreases as time goes and the memory effect intensifies the loss of repeatability.

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M3 - Conference contribution

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Hwang J, Moon SE, Lee JS. On the Repeatability of EEG-Based Image Quality Assessment. In Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1785-1788. 8616304. (Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018). doi: 10.1109/SMC.2018.00308

On the Repeatability of EEG-Based Image Quality Assessment

Abstract

Publication series

Conference

Bibliographical note

All Science Journal Classification (ASJC) codes

UN SDGs

Access to Document

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