Joey Lee explores geographies mediated through data and computation.
Designer & Researcher.
Based in Brooklyn, NY
Working as an interaction designer, creative technologist, and educator.
New York University | Interactive Telecommunications Program (ITP)
School of Visual Arts | Design for Social Innovation
Generative design & geography, machine learning, data collection systems, climate change, urban climates, open source & access, visualization, algorithmic ethics, critical mapping, & education.
Exploratory Visual Compositions of Pose Estimation
Exploratory Visual Compositions of Pose Estimation is a series of visual encodings of data derived from PoseNet, a machine learning model that allows for real-time pose estimation.
Exploratory Visual Compositions of Pose Estimation is a series of visual encodings of data derived from PoseNet, a machine learning model that allows for real-time pose estimation. The model attempts to identify key features of a person such as her eyes, mouth, and ears, as well as the joints of her body and how they connect. Image derived from Kao Onishi’s The Moment I Said It
Case Study: “William Forsythe Solo” In this case study, a sample video from “William Forsythe Solo” was used to generate a series of data abstractions showing the PoseNet detections of the dancer, William Forsythe, in time and space.
Concept & Idea