Human gait identification using Kinect sensor

https://doi.org/10.24017/science.2017.3.37

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Authors

  • Azhin Tahir Sabir Department of Software Engineering, FENG, Koya University, Koya, Iraq
  • Mohammed H. Ahmed Department of Computer Science, University of Raparin Ranyah ,Sulaimanyah Kurdistan Region of Iraq
  • Abdulbasit K. Faeq Department of Software Engineering, FENG, Koya University, Koya, Iraq
  • Halgurd S. Maghdid Department of Software Engineering, FENG, Koya University, Koya, Iraq

Abstract

This study investigates a novel three-dimension gait recognition approach based on skeleton representation of motion by the cheap consumer level camera Kinect sensor. In this work, a new exemplification of human gait signature is proposed using the spatio-temporal variations in relative angles among various skeletal joints and changing of measured distance between limbs and land. These measurements are computed during one gait cycle. Further, we have created our own dataset based on Kinect sensor and extract two sets of dynamic features. Nearest Neighbors and Linear Discriminant Classifier (LDC) are used for classification. The results of the experiments show the proposed approach as an effective and human gait recognizer in comparison with current Kinect-based gait recognition methods.

Keywords:

Gait recognition, Kinect, Angle Features (AF), Distance Feature (DF), motion analysis.

References

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Published

27-08-2017

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Section

Pure and Applied Science

How to Cite

[1]
A. T. Sabir, M. H. Ahmed, A. K. Faeq, and H. S. Maghdid, “Human gait identification using Kinect sensor”, KJAR, vol. 2, no. 3, pp. 142–146, Aug. 2017, doi: 10.24017/science.2017.3.37.