Front-view gait parameterization using arm movement

Authors

  • Alessandra P. Araullo ⋅ PH National Institute of Physics, University of the Philippines Diliman
  • Maricor N. Soriano ⋅ PH National Institute of Physics, University of the Philippines Diliman
  • Caesar A. Saloma ⋅ PH National Institute of Physics, University of the Philippines Diliman

Abstract

We demonstrate a novel way of characterizing gait based on front-view upper-body movement. In particular, we take temporal measurements of the x-y position of arms and elbows of four persons in video, walking towards the camera. We compute the modulus of the Fourier Transform of the x-y positions. Preliminary results show that the Fourier transform modulus of the left hand x position was able to classify novel gait video footage of three out of four subjects by a shortest Euclidean distance rule.

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Issue

Article ID

SPP-2001-W3A-3

Section

Image and Signal Processing

Published

2001-10-24

How to Cite

[1]
AP Araullo, MN Soriano, and CA Saloma, Front-view gait parameterization using arm movement, Proceedings of the Samahang Pisika ng Pilipinas 19, SPP-2001-W3A-3 (2001). URL: https://proceedings.spp-online.org/article/view/SPP-2001-W3A-3.