Handshape assimilation in ASL fingerspelling ... - Jonathan Keane

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Introduction Methods Ulnar Flexion ConclusionsCoding methodApogee detectionWe used a combination of human coders, algorithmic averaging,forced alignment, and verification to code timing data.Apogees▸ are the point where the hand reached a target handshape andorientation, or▸ the point of minimum instantaneous velocity of all of thearticulators, but▸ crucially are not defined as the canonical form.(Keane et al., 2011)
Introduction Methods Ulnar Flexion ConclusionsCoding methodFeature annotationFeature annotation▸ We extracted still images from each apogee that has been coded.▸ We human coded features of hand configuration:▸ all -C-, -D-, -E-, and -O- apogees for ulnar flexion.▸ There are 4,741 word medial apogees annotated.Two goals▸ A simple task with only a minimal amount of training necessary▸ A metric that would apply regardless of how canonical a givenhandshape was
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Handshape assimilation in ASL fingerspelling ... - Jonathan Keane

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