Difference between revisions of "EE586L/Projects 2012"

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(Created page with '== EDGR == '''Authors:''' [mailto:tannu@usc.edu Aditya Tannu], [mailto:michael.minkler@usc.edu Michael Minkler], [mailto:joshuara@usc.edu Joshua Ramos] '''Abstract:''' ''EDGR - …')
 
(Paper Piano)
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'''Authors:''' [mailto:hangdong@usc.edu Hang Dong], [mailto:dmorgens@usc.edu Dana Morgenstern], [mailto:yurong@usc.edu Yu Rong]
 
'''Authors:''' [mailto:hangdong@usc.edu Hang Dong], [mailto:dmorgens@usc.edu Dana Morgenstern], [mailto:yurong@usc.edu Yu Rong]
  
'''Abstract:''' ''The motivation of our project is to do a simple virtual piano by using a piece of paper as a keyboard and a camera to track the finger movements in order to select the key notes to play. The tracking of the fingers and the detection of the keys that are pressed will be achieved by using video processing techniques. The sound notes corresponding to the keys pressed will output through a loudspeaker. We may also display in the LCD of the board the result of the edge detection of the paper piano keys and fingertips''
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'''Abstract:''' ''The motivation of our project is to do a simple virtual piano by using a piece of paper as a keyboard and a camera to track the finger movements in order to select the key notes to play. The tracking of the fingers and the detection of the keys that are pressed will be achieved by using video processing techniques. The sound notes corresponding to the keys pressed will output through a loudspeaker. We may also display in the LCD of the board the result of the edge detection of the paper piano keys and fingertips.''
  
 
'''Video:''' [TBD]
 
'''Video:''' [TBD]

Revision as of 11:17, 19 April 2012

EDGR

Authors: Aditya Tannu, Michael Minkler, Joshua Ramos

Abstract: EDGR - Embedded Depth Gesture Recognition. An 8-piece puzzle solved using hand gestures

Video: [TBD]


Paper Piano

Authors: Hang Dong, Dana Morgenstern, Yu Rong

Abstract: The motivation of our project is to do a simple virtual piano by using a piece of paper as a keyboard and a camera to track the finger movements in order to select the key notes to play. The tracking of the fingers and the detection of the keys that are pressed will be achieved by using video processing techniques. The sound notes corresponding to the keys pressed will output through a loudspeaker. We may also display in the LCD of the board the result of the edge detection of the paper piano keys and fingertips.

Video: [TBD]