期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2014
卷号：14
期号：10
页码：5-12
出版社：International Journal of Computer Science and Network Security
摘要：In this paper, we examine the relationship between facial muscle activity and the subjective assessment score of image quality, by using Facial Electromyography (fEMG). Measurements were taken through fEMG and compared to subjective assessments conducted through questionnaires. We measured six relevant facial muscles in this experiment. We also��compared the percentage of the measured data and estimated��the subjective assessment score using the stepwise regression��analysis. Results show that if image quality is degraded, the activity of some muscles increases. The regression equation obtained has shown good results. We identified a visible relationship between fEMG and the subjective assessment score and we argue that fEMG can be effectively applied in the field of image quality assessment
