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ABSTRACT
In this paper, we present a metric for assessing the quality of arm movement
imitation. We develop a joint-rotational-angle-based segmentation and
comparison algorithm that rates pairwise similarity of arm movement
trajectories on a scale of 1-10. We describe an empirical study designed to
validate the algorithm we developed, by comparing it to human evaluation of
imitation. The results provide evidence that the evaluation of the automated
metric did not significantly differ from human evaluation.
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