Customized Design of Hearing Aids Using Statistical Shape Learning

  • Gozde Unal
  • Delphine Nain
  • Greg Slabaugh
  • Tong Fang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5241)

Abstract

3D shape modeling is a crucial component of rapid prototyping systems that customize shapes of implants and prosthetic devices to a patient’s anatomy. In this paper, we present a solution to the problem of customized 3D shape modeling using a statistical shape analysis framework. We design a novel method to learn the relationship between two classes of shapes, which are related by certain operations or transformation. The two associated shape classes are represented in a lower dimensional manifold, and the reduced set of parameters obtained in this subspace is utilized in an estimation, which is exemplified by a multivariate regression in this paper. We demonstrate our method with a felicitous application to estimation of customized hearing aid devices.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Gozde Unal
    • 1
  • Delphine Nain
    • 2
  • Greg Slabaugh
    • 3
  • Tong Fang
    • 3
  1. 1.Faculty of Engineering and Natural SciencesSabanci UniversityTurkey
  2. 2.McKinsey& CompanyUSA
  3. 3.Siemens Corporate Research Princeton NJUSA

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