Abstract
This paper presents a parallel real time framework for emotion extraction from video fragments of human movements. Its framework is used for tracking of a waving hand by evaluation of moving skin-colored objects. The tracking analysis demonstrates that acceleration and frequency characteristics of the traced objects are relevant for classification of the emotional expressiveness of human movements. The solution is part of a larger project on interaction between a human and a humanoid robot with the aim of training social behavioral skills to autistic children with robots acting in a natural environment.
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Lourens, T., Barakova, E. (2009). Retrieving Emotion from Motion Analysis: In a Real Time Parallel Framework for Robots. In: Leung, C.S., Lee, M., Chan, J.H. (eds) Neural Information Processing. ICONIP 2009. Lecture Notes in Computer Science, vol 5864. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10684-2_48
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DOI: https://doi.org/10.1007/978-3-642-10684-2_48
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-10682-8
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