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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3684))

Abstract

We argue how we can deal with pressure sensors for person recognition issue. It would appear that the information from the pressure sensors are relatively robust but weak. Using such sensors we argue the merit and possible use of these information. We describe: 1) to what degree and in what way information collected by pressure sensors on a chair is effective for person recognition, and 2) to what situation we can apply these sensor information and how practical they are.

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© 2005 Springer-Verlag Berlin Heidelberg

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Yamada, M., Toyama, J., Kudo, M. (2005). Person Recognition by Pressure Sensors. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3684. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11554028_98

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  • DOI: https://doi.org/10.1007/11554028_98

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28897-8

  • Online ISBN: 978-3-540-31997-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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