Modelling Sign Language with Encoder-Only Transformers and Human Pose Estimation Keypoint Data

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...

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Bibliographic Details
Main Authors: Luke T. Woods, Zeeshan A. Rana
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Mathematics
Subjects:
sign language recognition
human pose estimation
classification
computer vision
deep learning
machine learning
Online Access:https://www.mdpi.com/2227-7390/11/9/2129

Internet

https://www.mdpi.com/2227-7390/11/9/2129

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