Development Age Groups Estimation Method Using Pressure Sensors Array

  • Junjirou Hasegawa
  • Takuya Tajima
  • Takehiko Abe
  • Haruhiko Kimura
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 253)


This paper aims to estimate age groups by walking data using pressure sensors array. Techniques of the age groups estimation in many retail businesses (for example, convenience stores, supermarkets, shopping malls, etc.) are marketable. There are many researches of the age estimation using face images, walking silhouette data, etc. However, there are some problems too. One of problem is that the estimation classes are a few. Moreover, many age estimation systems use some video cameras. Therefore, these systems may invade surveyed person’s privacy by taking one’s face images. In this study, this fact is one of merit in using the pressure sensors. The pressure sensors array gets feature quantity including center of gravity, pressure value, etc. In this study, our system classifies surveyed persons to 7 age groups as each decade. Here, surveyed persons are 20–80 s. Average estimation accuracy of all age groups is 72.86 %. The highest estimation accuracy is 86.67 % at 70 s.


Marketing Age estimation Walking data Pressure sensors 


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Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  • Junjirou Hasegawa
    • 1
  • Takuya Tajima
    • 1
  • Takehiko Abe
    • 2
  • Haruhiko Kimura
    • 3
  1. 1.FukuokaJapan
  2. 2.AichiJapan
  3. 3.IshikawaJapan

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