Effort-based Analysis of Bowing Movements: Evidence of Anticipation Effects

Abstract Anticipatory behaviours are known to occur in music performance, notably on the control movements of instruments such as piano or drums. We studied such effects on bowed string movements, corresponding to a case where the control on sound is continuous. Movements were measured with an optical motion capture system combined with sensors on the bow. Bowing movements were analysed and compared on the basis of underlying effort costs, determined from their velocity profiles. Precisely, we used movement models that assume that jerk or impulse are minimized. These models were synthesized based on measurement data and then compared to velocity and acceleration profiles. Results on various musical cases involving separate strokes, scales, mixed bowing techniques and rhythms showed that this methodology can account, to some extent, for the different effort strategies used by the players. The presented modelling provides evidence of anticipatory behaviour during bowing movements.

[1]  M. Wiesendanger,et al.  Coordination of bowing and fingering in violin playing. , 2005, Brain research. Cognitive brain research.

[2]  J. F. Soechting,et al.  Anticipatory and sequential motor control in piano playing , 1997, Experimental Brain Research.

[3]  Jim Woodhouse,et al.  The physics of the violin , 1986 .

[4]  N. Hogan,et al.  On rhythmic and discrete movements: reflections, definitions and implications for motor control , 2007, Experimental Brain Research.

[5]  Dorothy Swainson,et al.  The Physiological Mechanics of Piano Technique , 1962 .

[6]  Sofia Dahl The Playing of an Accent – Preliminary Observations from Temporal and Kinematic Analysis of Percussionists* , 2000 .

[7]  Frédéric Bevilacqua,et al.  Gesture Analysis of Violin Bow Strokes , 2005, Gesture Workshop.

[8]  Mario Wiesendanger,et al.  Fingering and bowing in violinists: a motor control approach , 2006 .

[9]  Stefania Serafin,et al.  The sound of friction: Real-time models, playability and musical applications , 2004 .

[10]  W. L. Nelson Physical principles for economies of skilled movements , 1983, Biological Cybernetics.

[11]  Nicolas Hainiandry Rasamimanana Geste instrumental du violoniste en situation de jeu : analyse et modélisation , 2008 .

[12]  Caroline Palmer,et al.  Cognitive and biomechanical influences in pianists’ finger tapping , 2007, Experimental Brain Research.

[13]  Giovanni De Poli,et al.  Note‐by‐note analysis of the influence of expressive intentions and musical structure in violin performance* , 1998 .

[14]  D. Ostry,et al.  Velocity curves of human arm and speech movements , 2004, Experimental Brain Research.

[15]  N. Hogan An organizing principle for a class of voluntary movements , 1984, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[16]  J. Perkell,et al.  Economy of effort in different speaking conditions. I. A preliminary study of intersubject differences and modeling issues. , 2002, The Journal of the Acoustical Society of America.

[17]  Esther Thelen,et al.  Coordination and Control in the Bow Arm Movements of Highly Skilled Cellists , 1994 .

[18]  P. Janata,et al.  Embodied music cognition and mediation technology , 2009 .

[19]  Rolf Inge Godøy,et al.  Gestural Imagery in the Service of Musical Imagery , 2003, Gesture Workshop.

[20]  Marcelo M. Wanderley,et al.  String Bowing Gestures at Varying Bow Stroke Frequencies: A Case Study , 2007, Gesture Workshop.

[21]  René Causse,et al.  Mesure de la "pression d'archet" des instruments à cordes frottées. Application à la synthèse sonore , 2006 .