Detecting emotional content from the motion of an orchestra conductor

Authors:
Tommi Ilmonen;Tapio Takala
Affiliations:
Telecommunications Software and Multimedia Laboratory, Helsinki University of Technology;Telecommunications Software and Multimedia Laboratory, Helsinki University of Technology
Venue:
GW'05 Proceedings of the 6th international conference on Gesture in Human-Computer Interaction and Simulation
Year:
2005

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Affective content detection using HMMs

MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia

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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.