Date of Award

12-2012

Document Type

Thesis

Degree Name

Master of Fine Arts (MFA)

Legacy Department

Digital Production Arts

Advisor

Malloy, Brian A

Committee Member

Duchowski, Andrew T

Committee Member

House, Donald H

Abstract

In this thesis, we address questions about recognition of human movement through motion
capture. We begin by capturing the martial arts movements of four actors as they each perform
three different techniques. We then conduct a survey to determine if participants in
the survey are able to distinguish the various martial arts techniques and differentiate the
actors that portray said techniques. A secondary consideration of our survey is to determine
if the participants can distinguish the sex of the actors as they perform the martial arts
techniques. Our hypothesis is that people are able to distinguish actors and sex; however,
determining sex may be more difficult with digital actor representations that are anatomically ambiguous. With this thesis we will attempt to provide insight into human perception
and motion capture, and help validate the use of motion capture in video games and movies
for realistic human animation and interactions and to help improve the immersion of the
player/viewer.

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