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Original paper

Sign Pose-based Transformer for Word-level Sign Language Recognition

Pages: 182 - 191
Published: Jan 1, 2022
Abstract
In this paper we present a system for word-level sign language recognition based on the Transformer model. We aim at a solution with low computational cost, since we see great potential in the usage of such recognition system on hand-held devices. We base the recognition on the estimation of the pose of the human body in the form of 2D landmark locations. We introduce a robust pose normalization scheme which takes the signing space in...
Paper Details
Title
Sign Pose-based Transformer for Word-level Sign Language Recognition
Published Date
Jan 1, 2022
Pages
182 - 191
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