Driver Recognition on Segway

  • Authors:
  • Hiroshi Sato;Julien Rossignol

  • Affiliations:
  • National Defense Academy of Japan, Japan;Special Military School of Saint-Cyr, France

  • Venue:
  • International Journal of Artificial Life Research
  • Year:
  • 2012

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Abstract

Statistical machine learning approach to understand human behaviors has been attracting considerable amounts of attention in recent years. If the authors understand more about humans, the authors can make more user-friendly machines. In this paper, the authors propose the driver recognition method from their record of manipulations using support vector machine. The authors demonstrate the efficiency of the authors' method using the Segway. The performance of the recognition is quite good especially when the authors introduce the pre-process with FFT.