e-motes connects to your webcam and uses facial recognition to read a person's face for emotions, and then gathers and visualizes the data. e-mote was inspired by facial recognition technology and beautiful computer generated data visualizations.
The webcam registered a user's face and would then track and categorize different facial expressions (angry, sad, surprised, and happy) and give them a range from 0 to 1. This data would then determine the color and size of the dot found in the data visualizer. Every person who connects with the webcam would be visualized as another circling dot. Ideally, different channels would able to host different populations of people, with the central dot having the average emotional feeling of the group.
Branding was inspired by the original pixelated texture of the visualizer as well as the system of using RGB in order to express the different emotions. Pure RGB was not used in order to make the colors of the identity less jarring.
Part of the process when designing the visualizer was making the two parts (the recognizer and the visualizer) work together and be able to read each other. Another challenge we faced while making this was how to transition four variables into three without making the colors turn out muddy. We explored different possibilities (CMYK, RGB, transparency) and noticed that there was never an occasion where more than two emotions were strongly recognized and used white as our final color.