OpenPose in the Public DGS Corpus

Publication
Project Note AP06-2019-01

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Version 1: DOI

Abstract

One part of the second major release of the Public DGS Corpus is the addition of pose recognition data for all front-facing video recordings. It provides users with explicit machine-readable information on the location of various body parts, such as hands, shoulders, nose, ears, individual finger joints etc. Pose information was generated automatically using OpenPose

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Marc Schulder
Research Associate in Computational Linguistics

My research interests include natural language processing, sign languages and sentiment analysis.