A New Control Paradigm: Software-Based Gesture Analysis for Music

IEEE Pacific RIM Conference on Communications, Computers, and Signal Processing - Proceedings

Volumn I, Issue , 2003, Pages 360-363

  Nevile, Ben ^a   Driessen, Peter ^a   Schloss, W A ^a  

^a UNIVERSITY OF VICTORIA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER MUSIC; COMPUTER SOFTWARE; CONTROL SYSTEM ANALYSIS; DATA REDUCTION; DIGITAL SIGNAL PROCESSING; LOW PASS FILTERS;

CARRIER SIGNALS;

GESTURE RECOGNITION;

EID: 0142137773     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

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2. D. Zicarelli, "Communicating with meaningless numbers," Computer Music Journal, vol. 15, no. 4, pp. 74-77, 1991.
3. T. M. Nakra, "Searching for meaning in gestural data," Trends in Gestural Control of Music, 2000.
4. [Online]. Available: http://www.cycling74.com
5. [Online]. Available: http://crca.ucsd.edu/̃msp/software.html
6. M. Schwarz and L. Shaw, Signal Processing: Discrete Spectral Analysis. Detection and Estimation. Dubuque, Iowa: McGraw Hill, 1975.
7. R. Boie, L. W. Ruedisueli, and E. R. Wagner, "Gesture sensing via capacitive moments," internal memo at AT&T Bell Labs.
8. W. A. Schloss and P. Driessen, "New algorithms and technology for analyzing gestural data," Pacific Rim Conference, 2001.
9. K. C. Ho, Y. T. Chan, and R. J. Inkol, "Pulse arrival time estimation based on pulse sample ratios," IEE Proc.-Radar, pp. 153-157, August 1995.