Garth Zeglin – Human-Machine Virtuosity

Project Report Template

Garth Zeglin — Mon, 29 Apr 2019 15:52:19 +0000

The following is a general template for the final report, which is to be delivered as a blog post. Please write out your narrative in paragraph form, the outline of prompts below is not intended as a format guide. The video is crucial; please make sure it captures the intention and success of your project clearly.

Project Title
1. Author 1, Author 2
2. Submission Date
3. URL of project video (typically up to two minutes)
Abstract: Provide a brief paragraph summarizing the overall goals and results.
Objectives: State your goals, and discuss what specific features are within scope for the project.
Implementation: Discuss your design choices.
Outcomes: Discuss the successes and failures of your choices.
Contribution: Please provide a clear statement of each author’s individual contribution to the outcomes.
Diagram: please include a workflow diagram highlighting the analog and digital transformations included in the final result
Video: Please embed a video which captures the intent and success of your project. As a general rule, these might be edited one to two minutes long. Please observe good camera and editing technique.
Photo Documentation: Provide captioned photos which support your discussion. Please consider the purpose of each photo and write a caption which helps the reader understand your intent.
Citations: Please provide references or links to related work.

Exercise P1 Post Template

Garth Zeglin — Wed, 23 Jan 2019 15:36:04 +0000

The following is a general template for the exercise report, which is to be delivered as a blog post. This was primarily a skills-based exercise to teach basic motion capture and Grasshopper data processing, but please be sure to include your analytic observations about the nature of the tool and process. Please write out your responses concisely in paragraph form, answering the following prompts in a few sentences each.

Please identify the tool and discuss any particular considerations for marking and motion capture. Please identify the basic physical process that was captured.

Please describe any points of interest you see in the data, possibly including:

Changes in tool velocity
Changes in tool orientation
Tool contact with other objects in the scene.
Inflection points in a continuous gesture.

Please try to relate this data to the physical process. E.g., how are the physical constraints or tool forces rendered visible in the movement? How are the noise and error processes different along different directions? Does this give you any understanding of the dexterous skill involved?

Please provide one or more images which support the analysis, ideally including the original tool with attached markers and a visual representation of the tool path.

Please provide a brief video animation of the tool data as an embedded video block, i.e., directly viewable within the post. Short videos may be uploaded to the server as .mp4 files (16Mb limit), or longer videos can be hosted on YouTube.

You may optionally upload your .gh and .3dm file as attachments along with a reference .csv file.

Spring 2019 HMV

Garth Zeglin — Tue, 13 Nov 2018 17:46:10 +0000

This is the site for the Spring 2019 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).