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A New Framework for Sign Language Recognition based on 3D Handshape Identification and Linguistic Modeling

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Academic year: 2020

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Figure 1: Synthetic Dataset: 3D reconstructions of hand configurations from Cyberglove joint angles.
Figure 3: Multiple viewpoint visualization of the non-linearlower dimensional subspace of 87 ASL handshapes of thesynthetic dataset
Figure 4: Hand tracking, segmentation, HOG features, and 3D hand configuration result

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