01823nas a2200193 4500008004100000020002200041245007100063210006900134260002300203520122000226653001801446653002001464653001501484653002701499653001901526100002001545700001701565856004701582 2014 eng d a978-1-4503-2814-200aBeat Tracking from Conducting Gestural Data: A Multi-Subject Study0 aBeat Tracking from Conducting Gestural Data A MultiSubject Study aParis, FrancebACM3 a
The musical conductor metaphor has been broadly used in the design of musical interfaces where users control the expressive aspects of the performance imitating the movements of conductors. Most of the times, there are predefined rules for the interaction to which users have to adapt. Other works have focused on studying the relation between conductors' gestures and the resulting performance of the orchestra. Here, we study how different subjects move when asked to conduct on top of classical music excerpts, with a focus on the influence of the beat of the performance. Twenty-five subjects were asked to conduct on top of three classical music fragments and recorded with a commercial depth-sense camera. We evaluated predicted beats using ground truth annotations from score-performance alignment by an expert musicologist and a modified F-measure that is able to account for different tendencies on beat anticipation across subjects. The results show that these tendencies can be used for possible improvements in the design of conducting musical interfaces in terms of user adaptation.
10abeat tracking10aclassical music10aconducting10aexpressive performance10amotion capture1 aSarasua, Alvaro1 aGuaus, Enric uhttp://doi.acm.org/10.1145/2617995.2618016