论文标题
通过深度学习来推断连续的色彩情绪
Extrapolating continuous color emotions through deep learning
论文作者
论文摘要
通过实验数据集，我们使用深度学习来实现与颜色相关的情绪的推断，并对通过此神经网络获得的结果进行数学研究。特别是，我们看到雄性通常将给定的情感与较深的色彩联系起来，而女性则具有更明亮的颜色。老年人观察到类似的趋势，并与浅色的关联。此外，通过我们的分类矩阵，我们确定了哪些颜色与情感的关联较弱，哪些颜色通常与其他颜色混淆。
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.
