Extraction of human gait signatures: an inverse kinematic approach using Groebner basis theory applied to gait cycle analysis

Anum Barki; Kimberly Kendricks; Ronald F. Tuttle; David J. Bunker; Christoph C. Borel

doi:10.1117/12.2018336

23 May 2013 Extraction of human gait signatures: an inverse kinematic approach using Groebner basis theory applied to gait cycle analysis

Anum Barki, Kimberly Kendricks, Ronald F. Tuttle, David J. Bunker, Christoph C. Borel

Author Affiliations +

Proceedings Volume 8734, Active and Passive Signatures IV; 87340L (2013) https://doi.org/10.1117/12.2018336
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

Abstract

This research highlights the results obtained from applying the method of inverse kinematics, using Groebner basis theory, to the human gait cycle to extract and identify lower extremity gait signatures. The increased threat from suicide bombers and the force protection issues of today have motivated a team at Air Force Institute of Technology (AFIT) to research pattern recognition in the human gait cycle. The purpose of this research is to identify gait signatures of human subjects and distinguish between subjects carrying a load to those subjects without a load. These signatures were investigated via a model of the lower extremities based on motion capture observations, in particular, foot placement and the joint angles for subjects affected by carrying extra load on the body. The human gait cycle was captured and analyzed using a developed toolkit consisting of an inverse kinematic motion model of the lower extremity and a graphical user interface. Hip, knee, and ankle angles were analyzed to identify gait angle variance and range of motion. Female subjects exhibited the most knee angle variance and produced a proportional correlation between knee flexion and load carriage.

Citation Download Citation

Anum Barki, Kimberly Kendricks, Ronald F. Tuttle, David J. Bunker, and Christoph C. Borel "Extraction of human gait signatures: an inverse kinematic approach using Groebner basis theory applied to gait cycle analysis", Proc. SPIE 8734, Active and Passive Signatures IV, 87340L (23 May 2013); https://doi.org/10.1117/12.2018336

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