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URN	etd-0802116-061702
Author	Chia-hao Chang
Author's Email Address	No Public.
Statistics	This thesis had been viewed 5351 times. Download 0 times.
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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