Date of Award
12-2012
Document Type
Thesis
Degree Name
Master of Fine Arts (MFA)
Legacy Department
Digital Production Arts
Committee Chair/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.
Recommended Citation
Kinerd, Nicholas, "Motion Capture Study of Human Movement Recognition" (2012). All Theses. 1512.
https://tigerprints.clemson.edu/all_theses/1512