Output: Narrative visualization.
Topics: Machine Learning, emotions.
Tools/Skills: Svelte, D3, Javascript, Adobe Illustrator.
Data: Facial Emotion Recognition Dataset.
Topics: Machine Learning, emotions.
Tools/Skills: Svelte, D3, Javascript, Adobe Illustrator.
Data: Facial Emotion Recognition Dataset.
This is an interactive explainer that explores how machines interpret human emotions from facial expressions. It focuses on a common process in computer vision: converting an image of a face into a pair of numbers that represent emotion in a two-dimensional space. The piece shows different visual experiments on how to represent them.
Visual Experiment
Final Output
Initial Sketches
Code Sketches
Credits
This project was done in collaboration with Shih-Po Lee for the course Information Visualization with Professor Enrico Bertini.
This project was done in collaboration with Shih-Po Lee for the course Information Visualization with Professor Enrico Bertini.
