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ELECTRONIC CONDUCTING SYSTEM Kenzo Abrahams Supervisor: Mehrdad Ghaziasgar Co-supervisor: James Connan Assisted by: Diego Mushfieldt
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Overview Introduction High Level Design Implementation Testing and Results Demo References Questions and Answers
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Introduction Interactive Conducting System Tracks hands using webcam Real-time alterations depending on hand gestures Change volume Change tempo
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High Level Design The solution can be broken up into 3 parts Input Image processing Adjust music
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Implementation Extract F rames Detect face HSV Region of interest Extract Hue component
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Implementation Draw histogram Track right hand (control tempo) Track both hands (change volume)
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Testing and Results Three tests were performed Response Time Test Performance Test Robustness Test
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Response Time Test Each gesture is played for 20 seconds iteration Number of noticeable delays Gesture 24Gesture 34Gesture 44 1222 2213 3112 Average212
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Performance Testing Each section of the algorithm was timed
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Robustness Test 15 users of different ethnicity Check number of times the system loses tracking User number Number of losses BlackColouredWhite Total 1001 2111 3000 4000 5100 2125
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Demo Demo Overview Track right hand Change the tempo of music Track left hand Decrease volume of symphony Increase volume of one ensemble Show that all the gestures work
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References O'Niel, D L. (2008). Music Theater Jobs. Available: http://www.ehow.com/list_6547349_music- theater-jobs.html. Last accessed 29th March 2012. Bradski, G Kaehler, A. (2008). Getting to Know OpenCV. In: Loukides, M Learning OpenCV. United States of America: O’Reilly. p31-87. Gibson, J. (2009). RTcmix Tutorial. Available: http://iub.edu/~emusic/509/rtcmixtut.htm. Last accessed 10th Sep 2012. Nakra, T., Ivanov, Y., Smaragdis, P., Ault, C.: The USB Virtual Maestro: an Interactive Conducting System, p.250-255, NIME2009 (2009). BORCHERS, J., HADJAKOS, A., AND M¨UHLH¨AUSER, M. MICON (2006) A music stand for interactive conducting. Proceedings of the 2006 conference on New interfaces for musical expression, p254– 259. Viola, P. Jones, M. (2001). Rapid Object Detection using a Boosted Cascade of Simple Features. Conference on computer vision and pattern matching 2001. Lansky, A. (2005). An Open-Source, Digital Signal Processing and Sound Synthesis Language. Available: http://rtcmix.org/. Last accessed 27th May 2012. Nokia. (2009). Qt. Available: http://qt.nokia.com/products. Last accessed 10th Sep 2012.
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Questions and Answers
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