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Proceedings Paper

Human motion analysis and modeling
Author(s): Keith Prussing; J. Michael Cathcart; Brian Kocher
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Paper Abstract

Georgia Tech has investigated methods for the detection and tracking of personnel in a variety of acquisition environments. This research effort focused on a detailed phenomenological analysis of human physiology and signatures with the subsequent identification and characterization of potential observables. As a fundamental part of this research effort, Georgia Tech collected motion capture data on an individual for a variety of walking speeds, carrying loads, and load distributions. These data formed the basis for deriving fundamental properties of the individual's motion and supported the development of a physiologically-based human motion model. Subsequently this model aided the derivation and analysis of motion-based observables, particularly changes in the motion of various body components resulting from load variations. This paper will describe the data acquisition process, development of the human motion model, and use of the model in the observable analysis. Video sequences illustrating the motion data and modeling results will also be presented.

Paper Details

Date Published: 2 June 2011
PDF: 8 pages
Proc. SPIE 8019, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense X, 80190L (2 June 2011); doi: 10.1117/12.884480
Show Author Affiliations
Keith Prussing, Georgia Institute of Technology (United States)
J. Michael Cathcart, Georgia Institute of Technology (United States)
Brian Kocher, Georgia Institute of Technology (United States)


Published in SPIE Proceedings Vol. 8019:
Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense X
Edward M. Carapezza, Editor(s)

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