Sensors (Nov 2020)

Combined Regularized Discriminant Analysis and Swarm Intelligence Techniques for Gait Recognition

  • Tomasz Krzeszowski,
  • Krzysztof Wiktorowicz

DOI
https://doi.org/10.3390/s20236794
Journal volume & issue
Vol. 20, no. 23
p. 6794

Abstract

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In the gait recognition problem, most studies are devoted to developing gait descriptors rather than introducing new classification methods. This paper proposes hybrid methods that combine regularized discriminant analysis (RDA) and swarm intelligence techniques for gait recognition. The purpose of this study is to develop strategies that will achieve better gait recognition results than those achieved by classical classification methods. In our approach, particle swarm optimization (PSO), grey wolf optimization (GWO), and whale optimization algorithm (WOA) are used. These techniques tune the observation weights and hyperparameters of the RDA method to minimize the objective function. The experiments conducted on the GPJATK dataset proved the validity of the proposed concept.

Keywords