2008 Poster Sessions : Eyepatch: Prototyping Camera-based Interaction through Examples

Student Name : Dan Maynes-Aminzade
Advisor : Terry Winograd
Research Areas: Graphics/HCI
Eyepatch is a rapid prototyping tool designed to simplify the process of developing computer vision applications. Eyepatch allows novice programmers to create, test, and refine their own customized computer vision classifiers by providing visual examples from recorded video. Using Eyepatch, application developers can easily extract useful data from live video and stream that data to other rapid prototyping tools, without writing any specialized code.

Dan Maynes-Aminzade is a Ph.D candidate in Computer Science, working with Professor Terry Winograd. His research interests are in Human-Computer Interaction and Computer Vision, and he is currently working on design tools for camera-based interaction and teaching a course on computer vision for HCI called "Designing Applications that See."