Interactive Installation, Python, ML5Js, P5Js, 2023
This art installation explores the preservation of human identity within digital communications. Using a combination of Python for backend scraping and p5.js with ml5.js for frontend implementation, the work creates a reflective interface between viewers and their own digitized emotional states.
The installation captures the viewer's camera feed and employs facial emotion recognition to analyze their dominant expression. This emotional data then triggers the display of curated dialogue text, drawn from both a pre-established dataset and real-time scraped content from Twitter.
The webcam feed becomes the texture of the text itself, with the viewer's image filling the letterforms. They see their own image becoming the substance of language itself.
The installation functions as an emotional mirror where visitors witness how their expressions interact with and transform digital dialogues. This creates a living archive that reflects on the permanence and impermanence of our digital emotional traces.