Using FORM Data to Predict Phase Labels

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Authors
Martell, Craig
Kroll, Joshua
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Multimodal Corpora
Gesture
Machine Learning
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Date of Issue
2006
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Abstract
In this paper we present an augmentation of the FORM gesture corpus and describe experiments using FORM to predict gesture phase, i.e. preparation, stroke, and retraction. We compare these results to experiments using motion-captured data to predict the same. Interestingly, the FORM data, which is gathered via annotation, does significantly better than the motion-captured data.
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Article
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https://hdl.handle.net/10945/39589
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Computer Science (CS)
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This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
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