Abstract
Because the vision-based environmental context awareness technique has become a more important issue for implementing affective computing application, the effects of image components should be investigated in terms of human responses. In this paper, we studied the correlation between heart rate and image components such as hue, saturation, and intensity. We collected heart rate signals from subjects who respectively watched 32 different kinds of images chosen from a public emotion image database. As a result, we confirmed that the heart rate trend decreased in terms of hue and intensity but increased in terms of saturation. In addition, we confirmed that the correlation between heart rate and saturation was greater than that between heart rate and hue and intensity in terms of R 2 value. That is, heart rate trends can change depending on the effect of image components.
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References
Delplanque, S., N’Diaye, K., Scherer, K., Grandjean, D.: Spatial frequencies or emotional effects? discrete wavelet analysis. Journal of Neuroscience Methods 165(1), 144–150 (2007)
Berntson, G.G., Bigger, J.T., Eckberg, D.L., Grossman, P., Kaufmann, P.G., Malik, M., Nagaraja, H.N., Porges, S.W., Saul, J.P., Stone, P.H., Van Der Molen, M.W.: Heart rate variability: origins, methods, and interpretive caveats. Psychophysiology 34(6), 623–648 (1997)
Eliot, A.J., Maier, M.A.: Color psychology: effects of perceiving color on psychological functioning in humans. Annual Review of Psychology 65, 95–120 (2014)
Sohn, J.H.: Measurement of emotion and sensibility using physiological signals. Journal of the Korean Society of Precision Engineering 18(2), 14–25 (2001)
Litscher, D., Wang, L., Gaischek, I., Litcher, G.: The Influence of New Colored Light Stimulation Methods on Heart Rate Variability, Temperature, and Well-Being: Results of a Pilot Study in Humans. Evidence-Based Complementary and Alternative Medicine (2013)
Park, M.W., Kim, C.J., Whang, M., Lee, E.C.: individual emotion classification between happiness and sadness by analyzing photoplethysmography and skin temperature. In: Fourth World Congress on Software Engineering (WCSE), pp. 190–194 (2013)
Gonzalez, R.C., Woods, R.E., Eddins, S.L.: Digital Image Processing Using MATLAB. Pearson Prentice Hall (2004)
RGB to HSI. http://www.cse.usf.edu/~mshreve/rgb-to-hsi
Machajdik, J., Hanbury, A.: Affective image classification using features inspired by psychology and art theory. In: Proceedings of the International Conference on Multimedia, pp. 83–92. ACM (2010)
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© 2015 Springer Science+Business Media Singapore
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Park, M.W., Im, J., Kwon, J., Whang, M., Lee, E.C. (2015). Correlation Between Heart Rate and Image Components. In: Park, DS., Chao, HC., Jeong, YS., Park, J. (eds) Advances in Computer Science and Ubiquitous Computing. Lecture Notes in Electrical Engineering, vol 373. Springer, Singapore. https://doi.org/10.1007/978-981-10-0281-6_29
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DOI: https://doi.org/10.1007/978-981-10-0281-6_29
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