LATENT REFERENCES / TAG1
Zach Lieberman EyeWriter
Original title: Zach Lieberman EyeWriter
This reference note belongs to Tag1 in Latent References, an archive curated by Keigo Yoshida. Its archive region is Metaphysics · Image objects. The note preserves its source text and links so that readers can trace the material behind the 3D map.
- Collection
- Tag1
- Archive region
- Metaphysics · Image objects
Archived reference note
English translation of the archived note. JP shows the original text. Source links and literal code are retained; the translation does not update or independently verify the source claims.
“EyeWriter,” in which Zach Lieberman was involved, is an open-source eye-tracking system developed to enable graffiti artist TEMPT1, whose whole body was paralyzed by ALS (amyotrophic lateral sclerosis), to draw again.
Overview and characteristics
Project background: An international collaborative project launched in 2010. Besides Lieberman, members of Free Art and Technology (FAT), OpenFrameworks, Graffiti Research Lab, and others participated in development.
Low-cost open source: designed as an open-source system accessible to anyone, using inexpensive commercially available cameras and components.
Recognition: the project won numerous international awards and is also in the collection of the Museum of Modern Art (MoMA), New York.
https://www.ycam.jp/archive/works/the-eyewriter/
ザック・リーバーマン(Zach Lieberman)が関わった「EyeWriter(アイライター)」は、ALS(筋萎縮性側索硬化症)を患い全身が麻痺したグラフィティアーティストのTEMPT1氏が、再び絵を描けるように開発されたオープンソースの眼球追跡システムです。
概要と特徴
プロジェクトの背景: 2010年に発足した国際的なコラボレーションプロジェクトです。リーバーマン氏のほか、Free Art and Technology(FAT)やOpenFrameworks、Graffiti Research Labなどのメンバーが開発に参加しました。
低コストなオープンソース: 市販の安価なカメラや部品を用い、誰でもアクセスできるオープンソースのシステムとして設計されました。
評価: このプロジェクトは数々の国際的な賞を受賞したほか、ニューヨーク近代美術館(MoMA)にも収蔵されています。
https://www.ycam.jp/archive/works/the-eyewriter/
Source updated 2026-05-19 · Snapshot 2026-10-08
Source links and calculated neighbors
Cosine values measure shared lexical features, not truth, agreement or identical meaning. Original reference links are labeled separately.
- Stephen WhitmarshComputed lexical cosine similarity 0.109 · shared title, text, tags and references
- python MNEComputed lexical cosine similarity 0.100 · shared title, text, tags and references
- Carlsten Nikolai + Marco Perihan "POLAR M"Computed lexical cosine similarity 0.086 · shared title, text, tags and references