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Future work will focus on the study of more emo-
tional states for a better understanding of the quality
of human movements and the intentions of the per-
former. In addition, more performances from differ-
ent actors will be captured for better evaluation of the
results; some captures will take place at dance schools
to reduce the potential influences of the laboratory en-
vironments. We are also planning to study how the
gender, age, weight and height affect the emotion ex-
pression and recognition and whether these factors
can be correlated with motion and emotional state.
Furthermore, we will study the performance of the
classifier in relation to the size of the window used for
motion clips’ segmentation, as well as the weight of
influence of each feature in the classification of move-
ments. Besides, the results of this paper will be re-
ferred to establish a similarity function that measures
the correlation between different actions. In contrast
to the existing techniques, we intend to compare ev-
ery movement based, not only on the position, posture
or the rotation of the limbs, but on the motion qualita-
tive and quantitative characteristics, such as the effort
and the purpose that has been executed. In addition,
the motion graphs (Zhao and Safonova, 2009) that in-
dicate possible future action paths will be enriched,
apart from whether a movement is well-matched to
another, with the qualitative and quantitative charac-
teristics of the action.
ACKNOWLEDGEMENTS
This project (DIDAKTOR/0311/73) is co-financed by
the European Regional Development Fund and the
Republic of Cyprus through the Research Promotion
Foundation. The authors would also like to thank Mrs
Anna Charalambous for her valuable help in explain-
ing LMA, as well as all the dancers who performed at
our department.
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