Title page for etd-0802116-061702


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URN etd-0802116-061702
Author Chia-hao Chang
Author's Email Address No Public.
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Department Computer Science and Engineering
Year 2015
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title A File Sharing System Based On
Hand Gesture Control
Date of Defense 2016-07-25
Page Count 76
Keyword
  • Hand Gesture Recognition
  • Leap Motion
  • File Sharing
  • Neural Network
  • Machine Learning
  • Abstract Hand gesture control has become an important human-machine interaction interface, especially when in a situation keyboard/mouse or touch panel are not available. In our study, with the help of Leap Motion Controller’s high precision of 3D gesture tracking capabilities, we developed a desktop application for information exchange. After obtaining the coordinates of hands in three-dimensional space from Leap Motion Controller, we design a neural network algorithm to recognize hand gesture, and then to share the selected files to target receivers. We combine two dynamic and four static hand gestures to map to commands to select files and send to destinations to share with others.
      The key contribution of our thesis is the learning algorithm of hand gesture recognition. We are using neural network method to design the algorithm. Through the machine learning concept, we input dataset from Leap Motion controller to perform the learning phase, and then the learning results are used in the decision phase. We illustrate some performance results to show the recognition rate. The rate must be more than 90% to be usefully applied in practical application. In addition, the time must be less one second. We apply this algorithm in the information exchange and get acceptable performance. Thus, hand gesture recognition is a workable solution for human-machine communication.
    Advisory Committee
  • Wei Kuang Lai - chair
  • Chien-Hsin Liu - co-chair
  • Cheng-Fu Chou - co-chair
  • Shi-Huang Chen - co-chair
  • Chun-Hung Lin - advisor
  • Files
  • etd-0802116-061702.pdf
  • Indicate in-campus at 5 year and off-campus access at 5 year.
    Date of Submission 2016-09-02

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