Modelling Sign Language with Encoder-Only Transformers and Human Pose Estimation Keypoint Data
We present a study on modelling American Sign Language (ASL) with encoder-only transformers and human pose estimation keypoint data. Using an enhanced version of the publicly available Word-level ASL (WLASL) dataset, and a novel normalisation technique based on signer body size, we show the impact m...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
MDPI
2023
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Subjects: | |
Online Access: | View Fulltext in Publisher View in Scopus |