Abstract
In this paper, a method of quantitatively extracting human emotions by analyzing the surrounding environment images obtained through smartphone cameras in real time is proposed. In the area psychology, it has been known that visual elements such as colors and complexity affect human emotions. Based on the foregoing, we developed an application for the extraction of emotions in real time using the colors and spatial complexity of images obtained through android smart phones. Among the color components of images, hue components that indicate colors were extracted as color elements and the spatial complexity was extracted through the quantities of the high frequency and low frequency components out of the frequency components of images, respectively.
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Acknowledgement
This work was supported by the ICT R&D program of MSIP/IITP [R0126-15-1045, the development of technology for social life logging based on analysis of social emotion and intelligence of convergence content].
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Hwang, H., Ko, D., Whang, M., Lee, E.C. (2017). Mobile App for Analyzing Environmental Visual Parameters with Life Logging Camera. In: Park, J., Chen, SC., Raymond Choo, KK. (eds) Advanced Multimedia and Ubiquitous Engineering. FutureTech MUE 2017 2017. Lecture Notes in Electrical Engineering, vol 448. Springer, Singapore. https://doi.org/10.1007/978-981-10-5041-1_7
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DOI: https://doi.org/10.1007/978-981-10-5041-1_7
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