Using FORM Data to Predict Phase Labels

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.