Abstract
In this world of digital and social media booms, a number of people spend their valuable times burying heads in smartphones, resulting in unintentional increased gaps in physical relationship with people nearby. A hybrid digital-physical medium is a possible solution for this problem by means of externalizing social media data and integrating them into a physical medium somehow. In this way, using social media will simultaneously connect us with both virtual and physical worlds.
This paper presents our first step towards implementation of such a hybrid system, using a mobile projector to project social media’s digital data onto a physical color printed paper. With active infrared vision as an engine, we try to correlate physical printed colors with their infrared greyscale vision. A machine learning of multilayer perceptron is used to learn from samples whether there exists any reliable behavior that can be repeatedly used in the future. Nine color components from three well-known color models are combined, tested and evaluated before experimental results and future works are concluded and discussed.
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Siriborvornratanakul, T. (2015). Social Media on a Piece of Paper: A Study of Hybrid and Sustainable Media Using Active Infrared Vision. In: Wang, L., Uesugi, S., Ting, IH., Okuhara, K., Wang, K. (eds) Multidisciplinary Social Networks Research. MISNC 2015. Communications in Computer and Information Science, vol 540. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-48319-0_26
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DOI: https://doi.org/10.1007/978-3-662-48319-0_26
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