  Color is a complex communicative element that helps us understand and
evaluate our environment. At the level of artistic creation, this component
influences both the formal aspects of the composition and the symbolic weight,
directly affecting the construction and transmission of the message that you
want to communicate, creating a specific emotional reaction. During the
COVID-19 pandemic, people generated countless images transmitting this event's
subjective experiences. Using the repository of images created in the Instagram
account CAM (The COVID Art Museum), we propose a methodology to understand the
use of color and its emotional relationship in this context. The process
considers two stages in parallel that are then combined. First, emotions are
extracted and classified from the CAM dataset images through a convolutional
neural network. Second, we extract the colors and their harmonies through a
clustering process. Once both processes are completed, we combine the results
generating an expanded discussion on the usage of color, harmonies, and
emotion. The results indicate that warm colors are prevalent in the sample,
with a preference for analog compositions over complementary ones. The
relationship between emotions and these compositions shows a trend in positive
emotions, reinforced by the results of the algorithm a priori and the emotional
relationship analysis of the attributes of color (hue, chroma, and lighting).

Computer Vision and Pattern Recognition;Human-Computer Interaction