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Detecting Emotional Content from the Motion of an Orchestra Conductor

  • Tommi Ilmonen
  • Tapio Takala
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3881)

Abstract

In this paper we present methods for analysis of the emotional content of human movement. We have studied orchestra conductor’s movements that portrayed different emotional states. Using signal processing tools and artificial neural networks we were able to determine the emotional state intended by the conductor. The test set included various musical contexts with different tempos, dynamics and nuances in the data set. Some context changes do not disturb the system while other changes cause severe performance losses. The system demonstrates that for some conductors the intended emotional content of these movements can be detected with our methods.

Keywords

Emotional State Confusion Matrix Emotional Content Context Change Emotional Space 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Tommi Ilmonen
    • 1
  • Tapio Takala
    • 1
  1. 1.Telecommunications Software and Multimedia LaboratoryHelsinki University of TechnologyFinland

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