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Evaluating Arm Movement Imitation
Author(s) -
Alexandra Constantin,
Maja J. Matarić
Publication year - 2006
Publication title -
american journal of undergraduate research
Language(s) - English
Resource type - Journals
eISSN - 2375-8732
pISSN - 1536-4585
DOI - 10.33697/ajur.2006.004
Subject(s) - movement (music) , imitation , metric (unit) , similarity (geometry) , artificial intelligence , pairwise comparison , computer science , segmentation , computer vision , human arm , engineering , psychology , social psychology , philosophy , operations management , image (mathematics) , aesthetics
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 automatic metric did not significantly differ from human evaluation.

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