Human-Machine Virtuosity – Page 2 – An exploration of skilled human gesture and design, Spring 2017.

Posted on 2017-02-202017-02-20 by nsridhar@andrew.cmu.edu

Physical Graffiti – Graffiti Data Analysis

We brought in Matt Constant as our expert for this project. He is a graffiti artist and we used the Motive motion capture system to track the position and orientation of his spray can as he created his artwork. We first created a fixture that held 3 reflective motion tracking spheres in order to allow the software
Continue reading Physical Graffiti – Graffiti Data Analysis

Posted on 2017-02-182017-02-20 by atefehm@andrew.cmu.edu

SculptMotion: Analyzing the Skill of Clay Sculpting

Clay sculpture is typically a skill learned through practice. Our group took interest in the movements a clay sculptor makes as they sculpt. Is there a trend with the shape, position, or velocity of the tools? We began this exploration by interviewing Miranda Miller, a CMU freshman art student who specializes in clay sculpting work.
Continue reading SculptMotion: Analyzing the Skill of Clay Sculpting

Posted on 2016-10-262016-11-11 by Garth Zeglin

Spring 2017 HMV

This is the new site for the Spring 2017 iteration of 16-455/48-530 Human-Machine Virtuosity, offered at Carnegie Mellon University as part of the IDeATe program. The course meets Monday and Wednesday, 9:30AM to 11:20AM, in MMH C4 (the dFab Lab).