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Capturing Bowing Gesture: Interpreting Individual Technique

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Musical Robots and Interactive Multimodal Systems

Part of the book series: Springer Tracts in Advanced Robotics ((STAR,volume 74))

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Abstract

Virtuosic bowed string performance in many ways exemplifies the incredible potential of human physical performance and expression. Today, a great deal is known about the physics of the violin family and those factors responsible for its sound capabilities. However, there remains much to be discovered about the intricacies of how players control these instruments in order to achieve their characteristic range and nuance of sound. Today, technology offers the ability to study this player control under realistic, unimpeded playing conditions to lead to greater understanding of these performance skills. Presented here is a new methodology for investigation of bowed string performance that uses a playable hardware measurement system to capture the gestures of right hand violin bowing technique. This measurement system (which uses inertial, force, and electric field position sensors) was optimized to be small, lightweight, and portable and was installed on a carbon fiber violin bow and an electric violin to enable study of realistic, unencumbered violin performances. The application of this measurement system to the study of standard bowing techniques, including détaché, martelé, and spiccato, and to the study of individual players themselves, is discussed.

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References

  1. Askenfelt, A.: Measurement of the bowing parameters in violin playing. STL-QPSR 29(1), 1–30 (1988)

    Google Scholar 

  2. Auer, L.: Violin Playing as I Teach It, reprint edn. Dover Publications, New York (1980)

    Google Scholar 

  3. Berman, J., Jackson, B.G., Sarch, K.: Dictionary of Bowing and Pizzicato Terms, 4th edn. Tichenor Publishing, Bloomington (1999)

    Google Scholar 

  4. Brown, R.G., Hwang, P.Y.C.: Introduction to Random Signals and Applied Kalman Filtering, 3rd edn. John Wiley & Sons, New York (1997)

    MATH  Google Scholar 

  5. CodaBow: Conservatory Violin Bow, http://www.codabow.com/

  6. Cremer, L.: The Physics of the Violin. MIT Press, Cambridge (1984)

    Google Scholar 

  7. Demoucron, M.: On the control of virtual violins. Ph.D. thesis, KTH (2008)

    Google Scholar 

  8. Demoucron, M., Askenfelt, A., Caussé, R.: Measuring bow force in bowed string performance: Theory and implementation of a bow force sensor. Acta Acustica United with Acustica 95(4), 718–732 (2009)

    Article  Google Scholar 

  9. Fjellman-Wiklund, A., Grip, H., Karlsson, J.S., Sundelin, G.: EMG trapezius muscle activity pat-tern in string players: Part I—is there variability in the playing technique? International Journal of Industrial Ergonomics 33, 347–356 (2004)

    Article  Google Scholar 

  10. Flesch, C.: The Art of Violin Playing: Book One, reprint edn. Carl Fischer. Foreword by Anne-Sophie Mutter, New York (2000)

    Google Scholar 

  11. Fletcher, N.H.: The nonlinear physics of musical instruments. Rep. Prog. Phys. 62, 723–764 (1999)

    Article  Google Scholar 

  12. Gigante, C.: Manual of Orchestral Bowing. Tichenor Publishing, Bloomington (1986)

    Google Scholar 

  13. Green, E.A.H.: Orchestral Bowings and Routines. American String Teachers Association, Reston (1990)

    Google Scholar 

  14. Guettler, K.: The bowed string: On the development of helmholtz motion and on the creation of anomalous low frequencies. Ph.D. thesis, Royal Institute of Technology - Speech, Music and Hearing (2002)

    Google Scholar 

  15. M-Audio: Fast Track USB, http://www.m-audio.com/

  16. Micro-Measurements, V.: http://www.vishay.com/company/brands/micromeasurements/

  17. Nabney, I.T.: NETLAB: Algorithms for Pattern Recognition. In: Advances in Pattern Recognition. Springer, Great Britain (2002) NETLAB toolbox, http://www.ncrg.aston.ac.uk/netlab/index.php

    Google Scholar 

  18. Ng, K., Larkin, O., Koerselman, T., Ong, B.: i-Maestro Gesture and Posture Support: 3D Motion Data Visualisation for Music Learning And Playing. In: Bowen, J.P., Keene, S., MacDonald, L. (eds.) Proceedings of EVA 2007 London International Conference, August 27-31. London College of Communication, p. 20.1–20.8. University of the Arts London, UK (2007)

    Google Scholar 

  19. Ng, K., Larin, O., Koerselman, T., Ong, B., Schwarz, D., Bevilacqua, F.: The 3D Augmented Mirror: Motion Analysis for String Practice Training. In: Proceedings of the International Computer Music Conference, ICMC 2007 – Immersed Music, Vol. II, Copen-hagen, Denmark, August 27–31, pp. 53–56 (2007)

    Google Scholar 

  20. Ng, K., Weyde, T., Larkin, O., Neubarth, K., Koerselman, T., Ong, B.: 3D Augmented Mirror: A Multi-modal Interface for String Instrument Learning and Teaching with Gesture Support. In: Proceedings of the 9th International Conference on Multimodal Interfaces, Nagoya, Japan, pp. 339–345. ACM SIGCHI (2007) ISBN: 978-1-59593-817-6

    Google Scholar 

  21. Ng, K.: Interactive Multimedia for Technology-enhanced Learning with Multimodal Feedback. In: Solis, J., Ng, K. (eds.) Musical Robots and Interactive Multimodal Systems, Tracts in Advanced Robotics, vol. 74, Springer, Heidelberg (2011)

    Google Scholar 

  22. Paradiso, J., Gershenfeld, N.: Musical applications of electric field sensing. Computer Music Journal 21(3), 69–89 (1997)

    Article  Google Scholar 

  23. Puckette, M.: Pure Data (Pd), http://www.crca.ucsd.edu/msp/software.html

  24. Rasamimanana, N.: Gesture Analysis of Bow Strokes Using an Augmented Violin, M.S. thesis, Université Piere et Marie Curie (2004)

    Google Scholar 

  25. Rasamimanana, N., Kaiser, F., Bevilacqua, F.: Perspectives on gesture-sound relationships in-formed from acoustic instrument studies. Organized Sound 14, 208–216 (2009)

    Article  Google Scholar 

  26. Schelleng, J.C.: The Bowed string and the player. Journal of the Acoustical Society of America 53, 26–41 (1973)

    Article  Google Scholar 

  27. Schoonderwaldt, E., Rasamimanana, N., Bevilacqua, F.: Combining accelerometer and video camera: Reconstruction of bow velocity profiles. In: Proceedings of the 2006 International Con-ference on New Interfaces for Musical Expression (NIME 2006), Paris (2006)

    Google Scholar 

  28. Schoonderwaldt, E.: Mechanics and acoustics of violin bowing: Freedom, constraints and control in performance. Ph.D. thesis, KTH (2009)

    Google Scholar 

  29. Schumacher, R.T., Woodhouse, J.: The transient behaviour of models of bowed-string motion. Chaos 5(3), 509–523 (1995)

    Article  Google Scholar 

  30. Shan, G., Visentin, P.: A Quantitative Three-dimensional Analysis of Arm Kinematics in Violin Performance. Medical Problems of Performing Artists, 3–10 (March 2003)

    Google Scholar 

  31. Shan, G., Visentin, P., Schultz, A.: Multidimensional Signal Analysis as a Means of Better Un-derstanding Factors Associated with Repetitive Use in Violin Performance. Medical Problems of Performing Artists, 129–139 (September 2004)

    Google Scholar 

  32. Strang, G.: LinearAlgebra and Its Applications, 4th edn. Brooks Cole, Stanford (2005)

    Google Scholar 

  33. Turner-Stokes, L., Reid, K.: Three-dimensional motion analysis of upper limb movement in the bowing arm of string-playing musicians. Clinical Biomechanics 14, 426–433 (1999)

    Article  Google Scholar 

  34. UPM: http://w3.upm-kymmene.com/

  35. Winold, H., Thelen, E., Ulrich, B.D.: Coordination and Control in the Bow Arm Movements of Highly Skilled Cellists. Ecological Psychology 6(1), 1–31 (1994)

    Article  Google Scholar 

  36. Woodhouse, J.: Stringed instruments: Bowed. In: Crocker, M.J. (ed.) Encyclopedia of Acoustics. Wiley-Interscience, pp. 1619–1626. Wiley, Cambridge (1997)

    Google Scholar 

  37. Woodhouse, J.: Bowed String Simulation Using a Thermal Friction Model. Acta Acustica United with Acustica 89, 355–368 (2003)

    Google Scholar 

  38. Woodhouse, J., Galluzzo, P.M.: The Bowed String As We Know It Today. Acta Acustica United with Acustica 90, 579–589 (2004)

    Google Scholar 

  39. Yagisan, N., Karabork, H., Goktepe, A., Karalezli, N.: Evaluation of Three-Dimensional Motion Analysis of the Upper Right Limb Movements in the Bowing Arm of Violinists Through a Digi-tal Photogrammetric Method. Medical Problems of Performing Artists, 181–184 (December 2009)

    Google Scholar 

  40. Yamaha: SV-200 Silent Violin, http://www.global.yamaha.com/index.html

  41. Young, D.: New frontiers of expression through real-time dynamics measurement of violin bows. Master’s thesis, M.I.T (2001)

    Google Scholar 

  42. Young, D.: The Hyperbow controller: Real-time dynamics measurement of violin performance. In: Proceedings of the 2002 Conference on New Interfaces for Musical Expression (NIME 2002), Montreal (2002)

    Google Scholar 

  43. Young, D.: A methodology for investigation of bowed string performance through measurement of violin bowing technique. Ph.D. thesis, M.I.T (2007)

    Google Scholar 

  44. Young, D., Deshmane, A.: Bowstroke Database: A Web-Accessible Archive of Violin Bowing Data. In: Proceedings of the 2007 Conference on New Interfaces for Musical Expression (NIME 2007), New York (2007)

    Google Scholar 

  45. Young, D., Serafin, S.: Investigating the performance of a violin physical model: Recent real player studies. In: Proceedings of the International Computer Music Conference, Copenhagen (2007)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA

    Diana S. Young

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  1. Diana S. Young
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Editors and Affiliations

  1. Humanoid Robotics Institute Faculty of Science and Engineering, Waseda University, 3-4-1 Ookubo, 168-8555, Shinjuku-ku, Tokyo, Japan

    Jorge Solis

  2. Interdisciplinary Centre for Scientific Research in Music (ICSRiM), University of Leeds School of Computing & School of Music, LS2 9JT, Leeds, UK

    Kia Ng

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Young, D.S. (2011). Capturing Bowing Gesture: Interpreting Individual Technique. In: Solis, J., Ng, K. (eds) Musical Robots and Interactive Multimodal Systems. Springer Tracts in Advanced Robotics, vol 74. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22291-7_6

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  • DOI: https://doi.org/10.1007/978-3-642-22291-7_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22290-0

  • Online ISBN: 978-3-642-22291-7

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