Title page for etd-0721108-160528


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URN etd-0721108-160528
Author Po-ju Chen
Author's Email Address No Public.
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Department Mechanical and Electro-Mechanical Engineering
Year 2007
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title A Bometric Verification method based on Knee Accerlation Signal
Date of Defense 2008-07-04
Page Count 61
Keyword
  • acceleration
  • VQ
  • hypersphere
  • pattern recognition
  • Abstract Abstract
    With the rapid progress of the MEMs process, the cost and the size of accelerometers are reducing rapidly. As a result, accelerometers have found many new applications in industrial, entertainment and medical domains. One of such an applications is to acquire information about human body movement.
    The objective of this work is to use knee acceleration signal for indentity verification. Comparing with traditional biometric methods, this approach has several distinct features. First, it can aquire a large amount of data efficiently and conventiently. Second, it is relatively difficult to duplicate. In designing the verification algorithm, this study has developed a neural network method a hyperspherical classifier method. The experimental results demonstrated that hyperspherical classifier provide better performances in this application. By setting the sensitively to 85%, the specificity achieved by the hyperspherical classifier is at least 95%.
    Advisory Committee
  • Ming-Huei Yu - chair
  • Pei-Chung Chen - co-chair
  • Chen-wen Yen - advisor
  • Files
  • etd-0721108-160528.pdf
  • indicate access worldwide
    Date of Submission 2008-07-21

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