Extrapolating continuous color emotions through deep learning
Journal
Physical Review Research
Date Issued
November 2020
DOI
10.1103/PhysRevResearch.2.033350
Abstract
By means of an experimental dataset, we use deep learning to implement an RGB
extrapolation of emotions associated to color, and do a mathematical study of
the results obtained through this neural network. In particular, we see that
males typically associate a given emotion with darker colors while females with
brighter colors. A similar trend was observed with older people and
associations to lighter colors. Moreover, through our classification matrix, we
identify which colors have weak associations to emotions and which colors are
typically confused with other colors.
extrapolation of emotions associated to color, and do a mathematical study of
the results obtained through this neural network. In particular, we see that
males typically associate a given emotion with darker colors while females with
brighter colors. A similar trend was observed with older people and
associations to lighter colors. Moreover, through our classification matrix, we
identify which colors have weak associations to emotions and which colors are
typically confused with other colors.
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